Luminary Search is a boutique recruiting firm that specializes in niche technical hiring (AI/ML, Data Science, DevOps/SRE, Quant, SWE, etc.)

Luminary Search

Unlock the Secret to Successful Tech Recruiting with Luminary Search!

Tired of the same old recruitment agencies promising the world but delivering a sea of mediocre resumes? 

We've been there, and we're here to change the game.

At Luminary Search, we don't just send resumes, we send highly vetted candidates. 

Imagine having only the top 10% of candidates landing in your inbox. 

Our goal is simple: to build lasting relationships with our clients by providing an unparalleled recruitment experience. Experience the Luminary difference. 

For truly bespoke, boutique recruitment, reach out to us today!

Founder

We are Orbis Group. 

We work with brands that are passionate about tech, diversity, community and change. 

Our vision is to be the premier source for identifying and connecting excellence across financial services, life sciences and technology.

We are people specialists. Our mission is to continuously define and identify excellence; refined to exact requirements through the rewarding experience of better partnerships.

This is connecting excellence.

Email: info@weareorbis.com
London: 0203 854 0024

To view live roles and to register with us, visit www.weareorbis.com

Orbis

I'm starting our Miami office! Reach out if you want to get involved!

Principal Consultant

Infrastructure as Conversation

Podcast Host

Orbis is an international recruitment agency specializing in Technology, with expert teams in Design, Cyber Security, Data, DevOps/CLoud, Change & Transformation. 

We are technology people specialists. Our mission is to continuously define and identify excellence; refined to exact requirements through the rewarding experience of better partnerships.

This is connecting excellence.

Email: info@orbisconsultants.com
London: 0203 854 0024
New York: +1 646 970 0522
Nashville: +1 629 236 9940

To view live roles and to register with us, visit www.orbisconsultants.com

Senior Consultant

Most recruitment agencies today are designed for an era that existed 10 years ago.  However, the world has moved on.   Desensitisation to recruiter outreach is now the no1 challenge to sourcing talent.  Because

Third Republic - Recruitment Solutions for Digital Transformation

Senior DevOps, SRE, & Cloud Consultant

THE EMPLOYMENT INDUSTRY IS CHANGING

The new digital economy is creating a radical shift in the way people now look for work:
- Accessing top rated talent in technology is now becoming more and more difficult
- It is becoming harder to identify people, harder to engage people and harder to stand out
- Companies are engaging legacy PSL’s using outdated methods with increasingly poor results

Yet the key to unlocking the potential of cloud will be access to the right skills and the right people

Welcome to Third Republic: solving your recruitment challenges for Cloud & Digital technologies
- Access new pools of talent
- Identify and recruit better qualified people
- Use CloudPros to augment teams, reduce costs and deliver projects faster
- Enjoy flexible freelance solutions
- New delivery models make it easier to hire and leverage talent

Providing you with specialised talent solutions for:-
- Salesforce
- Workday & SuccessFactors
- Strategy & Architecture
- DevOps
- Cloud Platforms & Infrastructure
- Big Data technologies & frameworks

“Your strategic recruitment partner for emerging cloud and digital technologies”

Third Republic is set up to provide ONE outcome for our customers….access to new pools of talent.

Cloud & DevOps Consultant

GQR redefines total talent solutions, offering a bespoke blend of staffing, search, advisory, managed services, and cutting-edge software tailored to every employer's unique needs.  Our commitment to

GQR Global Markets 

GQR Global Markets is an award-winning international Banking & Finance, Energy & Engineering, Information Technology and Life Sciences specialist search advisory and talent acquisition firm. We unite the most talented people with the most pioneering organisations throughout the Americas, Europe and Asia-Pacific to find the very best opportunities wherever they may be located. 

We operate at the leading-edge of human capital where talent is most highly valued and innovation most highly sought. We specialise in delivering rare and uncommon talent to the most challenging sectors. We are a collective of expert headhunters and leverage considerable pooled resources through collaborative project teams to deliver the intellectual and muscular capital essential for competitive advantage. GQR operates with intelligence, diligence, tenacity and a relentless work ethic. We are proud of our role as ambassadors and trusted advisors to elite institutions and inspirational leaders. 

GQR represents the next generation in talent acquisition. Our methodology is the result of a designed evolution. We excel in the art and science of recruiting, blending classic search architecture with contemporary execution strategies. Advanced specialisation, headhunting and global access form the centre piece of our uncompromised approach; devised to ensure that we are able to interpret accurately, resource comprehensively, represent effectively and execute with confidence, speed and precision. 

We do not seek to be all things to all people; simply the very best within our field.


Associate

Harrison Edney

Ellipsis Labs in NYC needs a full-time Infrastructure Engineer. Must have blockchain (Solana preferred), Unix, DevOps (3+ years), fintech/quant trading experience. Build systems from scratch, set infra best practices, manage DevOps. On-site, 5 days/week. $200K-$250K. Visa sponsorship available. Passion for DeFi crucial.

Kareem March

Allee Clark

Noel Ashford

Luke Rigoglioso

Ellipsis Labs is a profitable, venture-backed New York-based startup, building products and infrastructure optimized for decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with &gt;$50B in volume since inception in 2023.Ellipsis Labs is continuing to build with Atlas, a layer 2 blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.

Ellipsis Labs

Phoenix, a leading decentralized exchange, and the fastest on-chain orderbook in decentralized finance. >$50B trade volume in <2 years without market-maker incentives.

Atlas (currently in private testnet available to developers), a layer 2 blockchain for verifiable finance.

Ellipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.

Senior/Staff Infrastructure Engineer

Founding Infrastructure EngineerLocationNew York, New YorkTypeFull timeDepartmentEngineeringCompensation$150K – $250K • Offers EquityOverviewApplicationEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesApply for this JobThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.Powered by Privacy PolicySecurityVulnerability DisclosureFounding Infrastructure EngineerLocationNew York, New YorkTypeFull timeDepartmentEngineeringCompensation$150K – $250K • Offers EquityOverviewApplicationEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesApply for this JobFounding Infrastructure EngineerFounding Infrastructure EngineerLocationNew York, New YorkTypeFull timeDepartmentEngineeringCompensation$150K – $250K • Offers EquityOverviewApplicationEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesApply for this JobLocationNew York, New YorkTypeFull timeDepartmentEngineeringCompensation$150K – $250K • Offers EquityLocationNew York, New YorkLocationNew York, New YorkTypeFull timeTypeFull timeDepartmentEngineeringDepartmentEngineeringCompensation$150K – $250K • Offers EquityCompensation$150K – $250K • Offers Equity$150K – $250K • Offers Equity$150K – $250K • Offers EquityOverviewApplicationEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesApply for this JobOverviewApplicationOverviewApplicationEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesApply for this JobEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesEllipsis Labs is a profitable, venture-backed New York-based startup building differentiated products and infrastructure in decentralized finance.The company developed Phoenix, the leading order book spot exchange on the Solana blockchain, and a top 10 DEX (decentralized exchange) with >$50B in volume since inception in 2023.Ellipsis Labs is building Atlas, a blockchain for verifiable finance. Verifiable finance enables financial applications to combine the performance of traditional finance with DeFi's transparency.All roles are in the Ellipsis Labs office in New York City.All roles are in the Ellipsis Labs office in New York City.The OpportunityEllipsis Labs is seeking our first full-time Infrastructure engineer to join the team. (We've had a part-time advisor and helper on this so far!) The ideal candidate would consider themselves an infrastructure or systems generalist, excited to tackle sensitive and high-performance financial technology that needs 5+ 9's of reliability.In this role, you will:Set foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsSet foundational infrastructure best practices and architectureSet foundational infrastructure best practices and architectureDevelop and own the team's DevOps processesDevelop and own the team's DevOps processesEnsure the security and monitoring of critical production systemsEnsure the security and monitoring of critical production systemsQualificationsRequired3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized finance3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience building and maintaining production-grade software systems (ideally in Rust, C++, C, or Golang), with high-quality and well-documented production code3+ years of experience with Unix systems and DevOps3+ years of experience with Unix systems and DevOpsExperience with cloud infrastructure, preferably AWSExperience with cloud infrastructure, preferably AWSA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudeA demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas, and a team-first attitudePassion for decentralized financePassion for decentralized financePreferredExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechExperience working with blockchain technology, preferably SolanaExperience working with blockchain technology, preferably SolanaExperience in quant trading or fintechExperience in quant trading or fintechBenefitsAbove-market salary and equity compensationUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesAbove-market salary and equity compensationAbove-market salary and equity compensationUnlimited and encouraged PTOUnlimited and encouraged PTOHealth, dental, and vision insurance for employees and their dependentsHealth, dental, and vision insurance for employees and their dependentsLunch and dinner provided at the officeLunch and dinner provided at the officeOptional, company-paid travel to events and conferencesOptional, company-paid travel to events and conferencesCompensation Range: $150K - $250KApply for this JobApply for this JobThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.Privacy PolicyTerms of ServicePowered by Privacy PolicySecurityVulnerability DisclosurePowered by Powered by Privacy PolicySecurityVulnerability DisclosurePrivacy PolicySecurityVulnerability Disclosure

Can sponsor transfers or O1 applications; cannot sponsor new H1Bs

Nick A.

Cameron Boulton

Edward D'Azzo-Caisser

Chris Przybycien

At Monad, we're all about making security simpler and more effective. Our mission is clear: we break down the barriers between different security tools, shining a light on hidden risks, and giving security teams the power to manage their data their way. Think of us as the go-to folks for security data ETL (Extract, Transform, Load). We're here to untangle the complex web of security data, making it easier for teams to get the insights they need and act fast. As a Series A startup backed by industry giants like Sequoia, Index Ventures, and Harpoon, we’re on a rapid trajectory, powered by innovation and driven by a fully remote team. We embrace flexibility, autonomy, and the collective effort to push boundaries in the cybersecurity domain.

Monad

We’re hiring a Senior Infrastructure Engineer for our core team, helping us build a high performance, security oriented, data platform.&nbsp; In this role you will help to architect and build the services and systems that lie at the heart of Monad, ingesting huge volumes of security data.&nbsp; This role is fully remote, we have no physical office, so you’ll never have to show up anywhere!&nbsp; (We do, however, get together at team offsites at least once a year.)

Founding (Staff/Principal) Infrastructure Engineer

https://docs.google.com/document/d/1VUxP01WIHWvzZA-_UzSQvwyex5MUtMeoZtUe7QZPJBg/edit

Luke Salamone

Amar Srinivasan

Juhi Naik

Charles Chen

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations. Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.Hundreds of companies use Hightouch, including Spotify, Ramp, Retool, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

VP of Engineering

Hightouch

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

Software Engineer, Machine Learning (old)

URL:https://boards.greenhouse.io/hightouch/jobs/5155115004
Apply Now
Software Engineer, Machine Learning
(View all jobs)
Remote (North America)
About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About the Role

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

Some of the problems we’ll be working on include:

Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.

As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $250,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.
System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
Apply for this Job
* Required
First Name *
Last Name *
Email *
Phone
Resume/CV
Attach Dropbox Google Drive or enter manually
(File types: pdf, doc, docx, txt, rtf)
LinkedIn Profile *

Github

Are you currently located in North America? *

--
Powered by  
Read our Privacy Policy

Join Evergreen as a Staff Software Engineer. Must have deep software architecture understanding, Java proficiency, and startup scaling experience. Backend focus, remote (US), travel to Miami monthly. No west of Austin, TX. Founding engineer equity. Visa sponsorship available. Salary: $200k-$220k. Collaborate, mentor, and drive strategic tech influence.

Sathish Dhinakaran

Adithya Nagaraj Tirumale

Matthew L.

We’re hard at work creating a wealth management platform that will give you a simple way to grow and manage all of your money in one place in real time.

Evergreen Wealth

Join us as a Staff Software Engineer focusing on backend development, where you'll play a critical role in sculpting our company's technological and cultural foundations. This is a unique opportunity to leverage your Java expertise and leadership skills to build and implement robust backend systems, contributing significantly to our growth. As a key player in our engineering team, you'll collaborate closely with other experts and product managers to bring our ambitious product roadmap to life.

Staff Software Engineer, Backend

About the role
Join us as a Staff Software Engineer focusing on backend development, where you'll play a critical role in sculpting our company's technological and cultural foundations. This is a unique opportunity to leverage your Java expertise and leadership skills to build and implement robust backend systems, contributing significantly to our growth. As a key player in our engineering team, you'll collaborate closely with other experts and product managers to bring our ambitious product roadmap to life.
What you'll do
● Architectural Influence: Drive the development and optimization of our backend architecture, ensuring scalability, performance, and security.
● Strategic Impact: Actively participate in strategic discussions, offering
insights that shape our technology direction and product innovation.
● Collaborative Engineering: Work alongside talented engineers to design
and implement features, ensuring high-quality code and adherence to
best practices.
● Mentorship: Provide technical mentorship and guidance, fostering a
culture of learning and continuous improvement. Mentor junior engineers on taking ownership of the full lifecycle of services and features.
● Problem-Solving: Tackle complex technical challenges, applying your problem-solving skills and high-achiever mindset to deliver effective solutions.
Qualifications
● Proven Backend Expertise: At least 8 years of experience, preferably in Java.
● Strategic Thinker: Ability to engage with strategic aspects of the business, demonstrating a keen interest in contributing to the company's direction.
● Consumer Company Experience: Previous experience in scaling technology for consumer-facing companies, with a preference for those who've worked in Investment Fintechs.
● Collaborative Spirit: Excellent collaborative skills, with a proven track record of working effectively in team environments.
● Technical Proficiency: Deep understanding of software architecture and the creation of interfaces to manage complex systems.
● Ability to travel to our Miami office once per month.
Bonus
● Cloud-Native Environment Comfort: Familiarity with cloud-native environments and tools like GitHub, AWS, Docker, and Terraform.
● Experience with GraphQL API development and full-stack development (specifically Typescript and React) is highly regarded.
● Educational Background: Bachelor's degree in Computer Science, a related technical discipline, or equivalent practical experience.
If you're a high achiever who loves solving problems and wants to make a strategic impact in a collaborative environment, we'd love to hear from you. Join us in shaping the future of our technology and culture and leave a lasting mark on our company and the industry.
Why Join Us?
● Start-up Equity (ask us why this is so important)
● Significant growth opportunity
● Free lunches
● Up to $1500 monthly contribution toward medical benefits
● Monthly team events
● Latest Macbooks

Remote (No further west than Austin, TX from Miami, FL) 

Charlie Tian

Vooma’s mission is to automate America’s $800BN trucking industry. Everything we touch in the physical world is moved on a truck - it’s the backbone of the US economy. Yet logistics today is still extremely manual. At Vooma, you’ll help us to build the co-pilot for logistics and automate everything but driving the truck.

Vooma (YC 23)

The products you’ll build will help freight brokers and trucking companies win more business and seamlessly execute freight. Freight brokers use Vooma today for quoting and order entry. Our quoting automation product enables lightning-fast workflows for responding to requests for quotes from shippers. Our order entry product automates the process of building loads that have been won. These are just the first of many critical skills that we’re building into the Vooma Agent.



Vooma is backed by top-tier investors and CEOs, founders and executives from Nolan, Arrive, MoLo, NFI, Convoy, Uber Freight, Motive, Loop, OTR Capital, Project44, Trucker Tools and more. Vooma has enterprise contracts with many of the largest freight businesses in the US.



This is a rare opportunity for you to join a talented and experienced team at the ground level to build a transformational company for a critical industry.



The development of large language models have created a unique period in history where many things that were previously not possible are now possible. Every industry, including logistics, will be transformed by this generation of AI.



At Vooma, you’ll harness the power of LLMs to transform the way freight is executed. You’ll work with us to combine the latest technologies in computer vision, natural language and process automation to build stunning products and experiences for logistics professionals that weren’t previously possible.



You’ll work with a modern web and AI stack (Next.js, GraphQL, Node, OpenAI, Anthropic) and you’ll code primarily in Typescript and Python.

Software Engineer

Have done TN. May be able to do others but would have to look into it.

Hands-on coder with AI/ML experience, strong backend skills (Go, Python, C++, Ruby). Experience in early-stage startups and large companies preferred. SF-based hybrid work; no visa sponsorship. Build tax software tools, APIs, and UI. Salary: $160K-$250K. In-office in SF a couple of days a week.

Christian Ambriz

In today’s world, Americans at lower income levels are disproportionately hurt by a complicated tax system and current product offerings. High-net-worth individuals have teams of accountants and lawyers to help them navigate and avoid taxes. In the same country, 3/4 of Americans don’t have access to any financial or tax advice and are forced to wade into the complex world of taxes with inadequate support.The advice given to most Americans (who can’t afford to hire a CPA or pay for high-end tax products) is, at best, lacking and, at worst, predatory. We live in a country where access to potentially life-changing tax advice is limited based on your income. It’s not right.The taxpayers we serve represent a diverse slice of the USA - and so do we. If you share an excitement for improving the financial well-being of all Americans, you’ll be right at home at Column Tax!

Column Tax

At Column Tax, we’re building the next generation of tax software. Come join us to build delightful, transparent, and easy-to-use tax products. Read more about us at <a target="_blank" rel="noopener noreferrer nofollow" href="http://tinyurl.com/columntax">tinyurl.com/columntax</a> !What we're looking for:<ul><li>Improvise, adapt, overcome. We are a start-up, so everyone is encouraged to participate across teams, and proactively solve problems and create solutions.</li><li>A focus on empathy, communication and teamwork. Tax software can’t be solved alone. You will be working collaboratively with other engineers, tax analysts, product, and design on almost every project.</li><li>The drive and excitement to create product that delights our users.</li><li>A strong sense of ownership. Everyone at Column Tax is empowered to shape the product and engineering roadmap.</li></ul>

Software Engineer (Experienced)

No visa sponsorship, company may consider if the candidate is truly trajectory-changing for the business

In-person 2-3 days/week in SF (650 California)

Vladyslav Larin

Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?

Exa finds the exact content you're looking for on the web using embeddings-based search.

Exa has three core functionalities, surfaced through our API endpoints:

- Search for pages Find any pages on the web using a natural language query. If you still need it, Exa supports also supports Google-style keyword search.

- Get contents from pages Obtain clean, up-to-date, parsed HTML from Exa search results. Contents can be semantically targeted using our 'highlights' feature.

Find similar pages Based on a link, find and return pages that are similar in meaning.

- Exa's precise content retrieval supercharges RAG pipelines, automates hours of research, and creates high-quality datasets for a niche use-case.

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?

ML Research Engineer

ML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-SiteML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-SiteSan Francisco, CaliforniaEngineering /Full-Time /On-SiteAPPLY FOR THIS JOBAPPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldDesired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldDesired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a year$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBAPPLY FOR THIS JOBExa Labs Inc. Home PageJobs powered byExa Labs Inc. Home PageJobs powered byExa Labs Inc. Home PageExa Labs Inc. Home PageJobs powered byJobs powered by

We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)

Build machine learning systems for AI-driven capital allocation. Must have strong AI idea generation history, exceptional engineering skills, top school background (Stanford, CMU, Harvard), and fluency in English. Located in San Francisco, hybrid work model, visa sponsorship available. Salary: $150K-$250K.

David Bedoll

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Co-Founder & CEO

Mana

You will build the machine learning systems that power our general artificial intelligence for capital allocation. We are looking for researchers who want to discover elegant deep learning concepts and then put them into production as solutions to high-stakes, real-world problems.

Applied AI Researcher

Visa sponsorship available to exceptional candidates that don't have work rights in the US

The largest GPU Cloud purpose built for AI. Instantly deploy thousands of NVIDIA H100s and A100s on demand, with no contract or commitment, or reserve dedicated clusters for any scale to supercharge your training and inference workflows.

FluidStack

Fluidstack is an AI cloud working with top AI companies like Poolside, Meta, Modal, and Reka. Our HPC Engineer will be responsible for ensuring peak performance of GPU infrastructure and providing top-tier support to customers. Your main responsibilities include deploying new clusters, automating processes to support scalability, and offering client-facing support for GPU debugging and performance optimization.

SRE / HPC Engineer

Fluidstack is an AI cloud. We work with many of the top AI companies on the planet, including Poolside, Meta, Modal, Reka, and many more.

About the role:
Our HPC Engineers make sure our GPU infrastructure is working at peak performance and offer top tier support to our customers.

At its core, you will have three main responsibilities:

Deployment. We will be onboarding new clusters at least monthly - you will help take bare-metal servers and deploy them for our customers as high performance compute as a service.

Automation. Our GPU fleet is large and growing. You will help us to automate many of our processes and systems to allow us to support Fluidstack continuing to scale.

Support. This will be a client facing role - you will work closely with our customers to make sure that they are able to utilize our infrastructure to achieve their goals. You will work on everything from GPU debugging, Slurm management, to training performance optimization.

Skills & Experience
Experience with HPC systems, System Administration, SRE, or DevOps

Experience with large scale workloads utilizing orchestrators like Slurm or Kubernetes.

Experience with automation of bare-metal machines and containers, using tools such as Ansible, Bash, or Python.

Experience with shared storage on platforms such as NFS, DDN ,Vast, CephFS, etc.

Experience provisioning large scale clusters and networks with e.g. BCM, UFM

Experience with large-scale GPU systems, working with Nvidia GPUs and Infiniband networks.

Fast learner, adaptable, and passionate about Fluidstack’s mission!

If any of the above bullets resonate with you, please reach out!

Marianne Hoogeveen

About usHarmonic is the startup discovery engine. We believe in innovation, entrepreneurs, and efficient capital markets. It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the index and tools that ensure the most promising founders get found and funded.The world's largest and most prolific venture capital firms rely on us to find and invest in the next Google, AirBnB, Uber, Stripe, and Anduril. We play a crucial part in ensuring hundreds of billions of dollars get routed efficiently and that the innovations the world would most benefit from materialize.We’ve been growing steadily and need passionate driven people to help us get to the next level. If you want to work in a high-growth environment with some of the most talented folks on the planet and resonate with <a target="_blank" rel="noopener noreferrer" class="c-link" href="https://www.harmonic.ai/careers">our values</a>, read on.

Harmonic

Harmonic is using data and AI to map the world of startups. When companies are first formed, they’re invisible to the world. We’ve created the only complete startup database, enabling the right investments to reach the right entrepreneurs at the right moment. We cover founders who’ve just filed for incorporation to scaleups hiring their go-public CFO, all in real-time with rich firmographic, team info, and time-series data.We're looking a Staff Data Scientist to own our insights layer and build models and algorithms to generate first-party data.

Staff AI/ML Engineer

URL:https://boards.greenhouse.io/harmonic/jobs/4393840005
Apply Now
Staff Data Scientist
(View all jobs)
Brooklyn, New York
About Us

Harmonic is using data and AI to map the world of startups. When companies are first formed, they’re invisible to the world. We’ve created the only complete startup database, enabling the right investments to reach the right entrepreneurs at the right moment. We cover founders who’ve just filed for incorporation to scaleups hiring their go-public CFO, all in real-time with rich firmographic, team info, and time-series data.

Hundreds of venture teams have become data-driven and deployed their dollars more effectively thanks to Harmonic. Firms like Accel, NEA, Brex, Notion, and Google Ventures use Harmonic to connect startups with the capital and resources they need to drive growth. We’re backed by some of the best investors - Craft, Sozo, Floodgate, and several others, all of whom started as customers first.

We believe your ability to pick up new skills, excitement for personal growth, and passion for professional development are more important than where you are today. We invite you to reach out if you’re driven, curious, optimistic, and passionate about mastering your craft!

What we value:

Being customer-obsessed: At the start of each two-week sprint, we commit to our deliverables, focusing on customer impact and fulfilling commitments. Expect an environment of high personal accountability.
Continuous self-improvement: We prioritize growth and feedback, celebrating wins & achievements while focusing on how we can strive to be even better next time. We exchange regular feedback and hold quarterly sessions to discuss each other's strengths and areas for growth, driving our development. We index heavily on introspection, openness to feedback, and direct communication.
“Get shit done” attitudes: Even when things are uncertain, all of our team members excel at pushing projects ahead, asking the right questions, and overcoming obstacles to keep things moving. You understand the importance of balancing speed and quality, and you excel at communicating what can be realistically achieved given the circumstances.

Who you are:

Inquisitive: What kind of topics pique your interest? What keeps you up late at night? What kind of problems do you like to solve?
Accountable: Do you take psychological ownership of your work? What are your action steps when things don’t go according to plan? Can we count on your word?
Engaged: How active are you in accomplishing your personal and professional goals? Are you proactive about identifying roadblocks? What do you do when you see something that isn’t working?

If you are curious about the team, here’s more information:

Explore Working with Sang to understand decision-making processes related to the engineering function.
Explore Team Page to get acquainted with us. We're an exceptionally collaborative and engaged group, deeply committed to our shared cultural values.

Specifically, you will:

Own our insights layer: build models and algorithms to generate first-party data. This will include using statistical and machine learning techniques, including LLMs, to generate derived insights as well as determine accurate values from error-prone sources (e.g. headcount information)
Develop data products that improve the discoverability of startups in our database. Create and continually improve the similarity, relevance, and tagging algorithms that power our search engine.
Use your knowledge and creativity to extract as much value out of our data as possible. Make us the most valuable and useful source of information on startups.
Oversee general maintenance and health of data pipelines to ensure accurate and efficient transformations of our data.
Collaborate with the team to devise product goals, outline milestones, and execute plans, achieving this with minimal guidance.

Role requirements:

7+ years in Data Science or Data Engineering, or 5+ years industry experience + PhD
Fluency in Python and SQL
Experience with backend libraries and tools like dbt and dagster, familiarity with web servers, and comfort with large data sets.
Ability to work 3 times/week in our Brooklyn (Williamsburg) office.
Proven track record of shipping major projects for a data-centric startup.

Compensat:

$185K - $250K Salary + Equity (flexible depending on the level)

Our stack

The Process

Our goal in hiring is to make sure we click on both sides. We’re all about saving time and not beating around the bush. If it’s not looking like a match, we’re upfront and quick to say so, keeping things honest and moving smoothly for everyone involved.

We despise the typical software engineering interview process because it does not align with our day-to-day work. We structured our interview process around pragmatism. Expect us to ask questions closely aligned with the work we expect you to do.

Here’s our interview process:

(30 mins) Introduction Chat: Let's discuss whether Harmonic is the right place for you. We'll review your experience and allocate time for any questions you may have
(30 mins) Hiring Manager Call: Here we focus on accountability, and how much personal ownership one takes of their work.
(Max 5 hours) Take-Home Exercise: We will send you a description of one of our current company challenges and ask you to come up with a creative solution.
(45 minutes each) Team interview: Meet with a member of our Product team to focus on how you would collaborate, and another member of our Engineering team to go over your take-home & conduct a technical assessment.
(2.5 hours) Engineering Jam Session: Detailed discussion of the take-home and digging in deeper to measure technical skills. This will involve coding with 2-3 engineers on our team.
(Async) Reference Checks
(In person) Dinner/Lunch: Get to know Max, our CEO, over dinner! We can only get to know each other so much through video calls. We believe this is a critical hire and believe this investment is necessary. Flight and housing (if needed) are covered.
Benefits*
🩺  Top of the line health, dental and vision insurance, with 100% premium covered
📈  401k matching
🌴  Unlimited vacation and sick leave
🌍  Offices in NYC, SF, & LA
Read about our company culture
*For full-time employees only
Apply for this Job
* Required
First Name *
Last Name *
Email *
Phone
Resume/CV *
Attach Dropbox Google Drive or enter manually
(File types: pdf, doc, docx, txt, rtf)
Cover Letter
Attach Dropbox Google Drive or enter manually
(File types: pdf, doc, docx, txt, rtf)
LinkedIn Profile

Website

Powered by  
Read our Privacy Policy

3 days a week in person in our NYC office (Williamsburg)

William Czubakowski

Martian is doing for LLMs what Google did for websites. The number of models is exploding and it's hard to figure out what&nbsp;model&nbsp;you should use for what task. Martian fixes that problem through a&nbsp;model&nbsp;router: You give us your prompt, we run it on the best&nbsp;model&nbsp;in real time. We can do this because we've learned how to predict the performance of a&nbsp;model&nbsp;without running it. That lets us find a&nbsp;model&nbsp;which can complete your request with the highest quality and lowest cost.Model-routing is just the first tool we're&nbsp;building&nbsp;to help understand the way in which models behave. By pioneering techniques like this, we want to solve the most fundamental problem in AI: understanding why models behave the way they do, and creating guarantees they'll behave the way we want.Our model router comes out of NLP research we’ve done since 2017. We have raised $9M from the likes of General Catalyst (Stripe, Airbnb) and NEA (Databricks, Salesforce). All of our sales have been inbound—we haven’t had to reach out to large enterprise customers, they have reached out to us for our product.

Martian

Building a good model-router is technically challenging. It requires training reward models from human feedback, developing more effective routing models, reducing model costs, and hosting models in a production-ready way. We're looking for someone to take on those challenges with Martian, both directly contributing as an engineer and leading the ML Eng team.

Founding ML Engineer

Building a good model-router is technically challenging. It requires understanding and measuring model performance (both through qualitative metrics and human preferences), developing more effective routing systems (better data, new model architectures, query-rewriting, and fundamental research into how models work), and productionizing the tools we build (reducing latency, improving model costs, ML Ops). We're looking for someone to take on those challenges with Martian by building and leading our ML Eng org from scratch.



We’re located in Pacific Heights, SF, working in person 5 days of the week.

Valentine Akhiarov

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.We are a hybrid company, with over half of our team (and office) located in San Francisco.

Co-founder and Chief Scientist

Cleanlab

For this Cloud Engineer role, you will: <ul><li>Engineer a data platform and work on cutting-edge MLOps&nbsp;with guidance from MIT PhDs who are prominent in systems and ML research.</li><li>Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists and engineers across all industries to effectively diagnose and fix issues in their datasets, thus improving the quality of their business’s core asset.</li><li>Work with the latest tooling and ML models&nbsp;at a dynamic startup.</li></ul>

Backend Platform Engineer (old)

URL:https://cleanlab.ai/careers/cloud-engineer/
Product
Solutions
Pricing
Case Studies
Learn
Company
Community
Try for free
Log in
Backend Platform Engineer

Location: San Francisco (flexible/hybrid)

At Cleanlab, you’ll get to

Engineer a data platform and work on cutting-edge MLOps with guidance from MIT PhDs who are prominent in systems and ML research.

Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists and engineers across all industries to effectively diagnose and fix issues in their datasets, thus improving the quality of their business’s core asset.

Work with the latest tooling and ML models at a dynamic startup.

In this position, you will

Develop the platform APIs our flagship Cleanlab Studio depends on.

Design, implement, and maintain our cloud infrastructure relating to data access, security and privacy, data processing, storage, and serving to build the platform that provides these APIs.

Keep up to date with the latest cloud technologies and offerings and how they relate to open-source alternatives to continuously improve our infrastructure. You will guide us on when to buy cloud services vs roll our own.

Design and implement security best practices and data protection and compliance processes. You’ll help identify potential risks and propose solutions to mitigate them & devise ways to monitor and alert on these risks.

Collaborate with our product, sales, external vendors and marketing teams to create the best cloud-based solutions for our current and future customers.

We are looking for

Strong software engineering & data platform architecture and engineering skills. You have likely built significant backend distributed systems.

Experience running production code in cloud environments, solving problems at scale.

Deep understanding of both open-source libraries, frameworks, and systems, and experience deciding when to build from scratch vs use existing solutions.

Experience with Python beyond scripting (most of our Backend is written in Python).

Solid understanding of current and future cloud offerings and risks related to security, privacy, data ingestion, processing, and storage.

Benefits

Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:

Annual travel stipend
Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.
Premium health insurance (+ dental and vision)
We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.
Stipend for attending conferences to keep up with the latest innovations in ML and software.
Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

The compensation range for this role is $130,000 to $180,000. The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.

About Us

Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.

While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.

We are a hybrid company, with over half of our team (and office) located in San Francisco.

Read about the Cleanlab team here.
Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here.
See what Google, Tencent, and other Cleanlab users think here.
How to Apply
Apply here: https://cleanlab.ai/apply
Try for free
Case studies
Join our community

SOLUTIONS

Industries

Data and Tech Consulting
Law
Financial Services and Insurance
E-Commerce and Retail
Manufacturing and Agriculture
Healthcare

Applications

Data Entry, Management, and Curation
Foundation and Large Language Models
Business Intelligence and Analytics
Data Annotation and Crowdsourcing
Customer Service
Content Moderation

LEARN

Blog
Examples
Tutorials
Playground
Research

COMPANY

About Us
Careers
Contact
Culture

OPEN SOURCE

GitHub
Documentation
Examples
Terms and Conditions
Privacy Policy
© 2024 Cleanlab Inc.

We are willing to sponsor visas for the right candidate

We are a hybrid company, we need candidates who can be in office at least 3 days each week. Office is in Mission District of SF. Candidates must be based in SF

Oliver Siruo H.

NOTE: this position is for experienced candidates only with 10+ years of experience. We're looking for an experienced Cloud Engineer to:<ul><li>Engineer a data platform and work on cutting-edge MLOps&nbsp;with guidance from MIT PhDs who are prominent in systems and ML research.</li><li>Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists and engineers across all industries to effectively diagnose and fix issues in their datasets, thus improving the quality of their business’s core asset.</li><li>Work with the latest tooling and ML models&nbsp;at a dynamic startup.</li></ul>

Experienced Cloud Engineer (Data Platform) (old)

URL:https://cleanlab.ai/careers/experienced-cloud-engineer/
Product
Solutions
Pricing
Case Studies
Learn
Company
Community
Try for free
Log in
Experienced Backend engineer

Location: San Francisco (flexible/hybrid)

NOTE: this position is for experienced candidates only. If you have less than ~10 years of experience, please see other openings on http://cleanlab.ai/careers, where you likely will be better set up for success!

At Cleanlab, you’ll get to

Engineer a data platform and work on cutting-edge MLOps with guidance from MIT PhDs who are prominent in systems and ML research.

Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists and engineers across all industries to effectively diagnose and fix issues in their datasets, thus improving the quality of their business’s core asset.

Work with the latest tooling and ML models at a dynamic startup.

In this position, you will

Drive the future of our applications and data platforms by defining and owning high-priority projects that will increase our value, resilience, and scalability.

Make critical technical architectural decisions for our data ingestion, processing, ML training, and query pipelines.

Provide technical mentorship and leadership to other engineers. We work with a modern tech stack, including the latest tooling and ML models, and will look to you to help evolve this further.

Identify performance, reliability, cost efficiency and security risks and design solutions to address them. Guide executive leadership on how to prioritize these initiatives (short and long-term) and decide how they fit into our roadmaps.

Embrace the start-up chaos! You will help us discover and define how we streamline collaboration with product, sales, and marketing teams to create the best solutions for our current and future customers.

We are looking for

Very strong software engineering & data platform architecture and engineering skills. You have likely built distributed systems with significant challenges in data volumes and rates.

Multiple years of experience running production system and models in cloud environments. You should be comfortable with the unique challenges of cost-efficiantly running large software systems at scale.

Several years of cross-team initiatives in a platform or infrastructure-focused environment. You should have led impactful technical initiatives where first-order concerns include performance, data security, cost efficiency, ease of use, and operability.

You enjoy and are good at mentoring and coaching other engineers to become even stronger. Teams win!

This is a senior role. Success is more likely if you have at least 10+ years of real-world experience.

This is not an ML heavy role, however you are more likely to succeed if you have experience with ML infra concepts.

Benefits

Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:

Annual travel stipend
Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.
Premium health insurance (+ dental and vision)
We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.
Stipend for attending conferences to keep up with the latest innovations in ML and software.
Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

The compensation range for this role is $180,000 to $250,000. The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.

About Us

Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.

While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.

We are a hybrid company, with over half of our team (and office) located in San Francisco.

Read about the Cleanlab team here.
Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here.
See what Google, Tencent, and other Cleanlab users think here.
How to Apply
Apply here: https://cleanlab.ai/apply
Try for free
Case studies
Join our community

SOLUTIONS

Industries

Data and Tech Consulting
Law
Financial Services and Insurance
E-Commerce and Retail
Manufacturing and Agriculture
Healthcare

Applications

Data Entry, Management, and Curation
Foundation and Large Language Models
Business Intelligence and Analytics
Data Annotation and Crowdsourcing
Customer Service
Content Moderation

LEARN

Blog
Examples
Tutorials
Playground
Research

COMPANY

About Us
Careers
Contact
Culture

OPEN SOURCE

GitHub
Documentation
Examples
Terms and Conditions
Privacy Policy
© 2024 Cleanlab Inc.

Similar Recruiters

Start your search today.