At Deep Abacus we are a team of talent acquisition specialists that have a passion for building well-rounded data-driven teams. We thrive on finding the best talent for the companies we partner with.

Deep Abacus

I lead niche recruitment and executive search solutions across the US with a particular focus on Technology and Pharmaceuticals. We pride ourselves on a first-rate service to our clients & candidates which comes from a complete immersion and passion for these markets, as well as an extensive network across the US which has been cultivated over 15 years. Our aim is to become the “go to” agency that clients can trust. Our core markets:

- AI & Data Science (machine learning, deep learning, NLP, Computer Vision)
- Big Data Engineering (Hadoop, Spark, Hive), Cloud Architecture (AWS/Azure)
- Software Engineering - Full Stack, C#/.Net, Ruby, PHP, Java, React/Angular
- Pharmaceuticals - cGMP Bio-Manufacturing, Market Access Strategy, QA & Regulatory Affairs, Clinical Trials, Assay Development

If you are looking for work, or looking to engage a search firm for the expansion of your team, by all means get in touch at andy@deepabacus.com

Director of Talent Solutions

Metris Consulting provides recruitment consulting services within 3 core niche areas:  - Data Science (machine learning, deep learning, NLP, Computer Vision, Python/R)  - Big Data Engineering (Hadoop,

Metris Consulting

Metris Consulting Limited is a consultancy which specializes in the recruitment of Pharmaceutical and Tech professionals across the US. I specialized in the following core areas:

- Pharmaceuticals - cGMP Bio-Manufacturing, Upstream/Downstream bio engineering, Market Access Strategy, QA & Regulatory Affairs, Clinical Trials & laboratory Science
- Data Science/Data Analytics (machine learning, deep learning, NLP, Computer Vision)
- Big Data Engineering (Hadoop, Spark), Cloud Architecture (AWS/Azure)
- Software Engineering - Full Stack, C#/.Net, Ruby, PHP, Java with front end tools such as React/Angular

Director

InterQuest Group

Interquest are a global niche recruitment consultancy within Data Analytics, Data Science, IT Security and Pharma. I headed up our US operations, leading a team of 8 consultants.

I led a team of consultants which specialize in the following core areas:

- Data Science (machine learning, deep learning, NLP, Computer Vision)
- Big Data Engineering (Hadoop, Spark, Hive), Cloud Architecture (AWS/Azure)
- Healthcare & Pharma Insights - Clinical Data Management & Analysis, HEOR/Health Economics, Market Access)
- Marketing / Digital Analytics (propensity modeling, CRM, Adobe Analytics))
- Business Intelligence, Enterprise Applications and ERP/EPM Systems (Oracle, SAP)
- Information Security / Cyber Security (Penetration Testing, Incident Response, Cyber Defense, IAM)

Director - North America

Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to

Harnham

In my role at Harnham I headed up the division which specialized in Data Analytics recruitment solutions for the Mid-West and Southern parts of the US. We specialized in both Permanent Full-Time and Contract / Temporary hires. I managed a team of 6 consultants who specialized in the following areas:

Data Science
Big Data / Business Intelligence
Credit Risk 
Marketing Analytics
Digital Analytics


Associate Director

We are Parallel!   Parallel is an international, award winning trusted staffing partner to clients across the United States, DACH, Benelux and Nordic regions, where we deliver comprehensive Recruitment

Parallel Consulting

In my role here I started up and headed UK operations for Statistical Analysis, Customer Insight and Business Intelligence focused recruitment for Parallel Consulting - covering both Permanent and Contract. 

I managed a team of 11 consultants that specialised in Customer Insight (SAS), Credit Risk, Data Science and Business Intelligence focused recruitment. We worked with a wide variety of clients in all sectors such as leading banks, telecoms, consultancies and retail sector companies. We created a great reputation in the market place for analytical recruitment and had a successful track record of commercial success.


Andy Jackson

Backend Python Developer in NYC, hybrid. Must excel in Python, Django/Flask, RESTful APIs, microservices, SQL/NoSQL, AWS/Azure/GCP, Docker/Kubernetes. Manage small team, deliver projects fast-paced. Project management and team leadership vital. Visa sponsorship available. Salary: $100K-$200K.

Jonathan Griffin

Allie Wang

Megan Schonberg

Yuhong Wang

LAER AI is driven by a singular vision of radically transforming the experience of search and helping organizations find meaning and patterns hidden behind volumes of disparate and unstructured data. Its current product provides a significantly more accurate, faster, and cost effective solution to the expensive document review process duringlitigation, investigations, and compliance.

Laer

Laer AI is a dynamic and fast-paced startup dedicated to revolutionizing the legal industry through innovative AI technology solutions. Founded by two PhDs from Cornell, our company is rapidly expanding and aims to transform legal processes with cutting-edge AI applications. Our team is composed of passionate and skilled professionals who thrive in a collaborative and agile environment. We are seeking a highly motivated Backend Python Developer to join our team and play a pivotal role in deploying our SaaS and on-premises technology solutions.As a Backend Python Developer, you will be responsible for a significant portion of the development, deployment, and maintenance of our SaaS and on-premises solutions. Initially, you will also manage a small team of remote developers. With successful fundraising, there is an opportunity to transition into a more project management-focused role.

Backend Python Developer (SaaS & On-Prem Deployment)

Job Title: Backend Python Developer (SaaS & On-Prem Deployment)
Company Overview:
We are a dynamic and fast-paced startup dedicated to revolutionizing the legal industry through innovative AI technology solutions. Founded by two PhDs from Cornell, our company is rapidly expanding and aims to transform legal processes with cutting-edge AI applications. Our team is composed of passionate and skilled professionals who thrive in a collaborative and agile environment. We are seeking a highly motivated Backend Python Developer to join our team and play a pivotal role in deploying our SaaS and on-premises technology solutions.
Job Description:
Position Overview:
As a Backend Python Developer, you will be responsible for a significant portion of the development, deployment, and maintenance of our SaaS and on-premises solutions. Initially, you will also manage a small team of remote developers. With successful fundraising, there is an opportunity to transition into a more project management-focused role.
Key Responsibilities:
Development and Deployment:
Design, develop, and maintain backend services and APIs using Python.
Implement and deploy SaaS and on-premises solutions ensuring high performance and reliability.
Integrate with various third-party services and APIs to enhance functionality.
Team Management:
Lead and manage a small team of remote developers, providing guidance and support.
Coordinate with cross-functional teams including frontend developers, designers, and product managers.
Oversee project timelines, deliverables, and ensure adherence to best practices and coding standards.
Project Management:
Act as a project manager for various initiatives, ensuring projects are delivered on time and within scope.
Conduct regular stand-ups, sprint planning, and retrospectives to maintain project momentum.
Identify and mitigate risks associated with project delivery and deployment.
Quality Assurance:
Write clean, maintainable, and testable code.
Implement automated testing and continuous integration to ensure code quality.
Conduct code reviews and provide constructive feedback to team members.
Innovation and Improvement:
Stay updated with the latest industry trends and technologies.
Propose and implement improvements to our development processes and tools.
Participate in architectural discussions and contribute to the evolution of our technology stack.
Qualifications:
Technical Skills:
Proficiency in Python and experience with web frameworks such as Django or Flask.
Strong understanding of RESTful APIs, microservices architecture, and database management (SQL and NoSQL).
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Familiarity with DevOps practices, CI/CD pipelines, and version control systems (Git).
Project Management:
Proven experience in managing small teams and delivering projects in a fast-paced environment.
Strong organizational and leadership skills.
Excellent communication and interpersonal skills.
Experience:
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
3+ years of experience in backend development with a focus on deploying SaaS and on-premises solutions.
Prior experience in a startup environment is highly desirable.
What We Offer:
Competitive salary and benefits package.
Opportunity to work in a fast-growing startup with a collaborative and innovative culture.
Professional development opportunities and career growth.
Flexible working hours and remote work options.
If you are passionate about technology, thrive in a startup environment, and have a strong background in backend development and project management, we would love to hear from you. Join us in building the future of legal technology solutions!

OPT or H1B transfer possible for exceptional candidates

AI Research Engineer with experience in AI/ML integration, large corp and startup backgrounds. Focus on knowledge architecture, LLM integration, and team management. NYC hybrid; no visa sponsorship. $180K-$210K. Poor communication a must. Unique chance to work within Epiq Global's startup-like environment.

Aryama Singh

Kerim Kurttepeli

Alex Bruening

As an AI Research Engineer on the AIDA team, you will design, build, and enhance AIDA's knowledge architecture, focusing on scalability for extracting knowledge from unstructured data, deep analytical reasoning, and integration with large language models. You will work closely with end-product teams to refine AIDA's capabilities and lead a team of engineers focused on advancing knowledge-driven AI.Core Responsibilities<ul><li>Knowledge Architecture Development: Expand and scale AIDA’s knowledge architecture, enabling robust knowledge extraction and reasoning capabilities from unstructured data sources.</li><li>Agentic LLM Integration: Integrate knowledge structures with large language models within an agentic architecture for accurate question answering, reporting, and analysis within AIDA’s environment.</li><li>Product Collaboration: Work closely with end-product teams to ensure seamless integration of knowledge systems with real-world legal applications, optimizing for relevance and accuracy.</li><li>Evaluation and Testing: Implement continuous testing and evaluation protocols on large-scale, real-world data to enhance AIDA’s performance and adaptability.</li><li>Data Curation and Annotation: Oversee collaborations with data annotation teams to curate high-quality datasets, essential for building reliable models for knowledge construction.</li><li>Team Management: Participate in hiring and lead a team of engineers within Epiq AI Labs dedicated to advancing knowledge architecture.</li></ul>

AI/ML Research Engineer



 

AI Research Engineer

          

About Epiq AI Labs 
At Epiq AI Labs, we’re building an AI-driven platform for legal discovery and knowledge management. Our mission is to transform how law firms and legal service providers manage complex litigation, process documents, and uncover actionable insights. By empowering our partners with cutting-edge technology, this AI-driven platform enables the discovery of hidden connections, accelerates decision-making, and ultimately drives better legal outcomes.
The Role
As an AI Research Engineer on the AIDA team, you will design, build, and enhance AIDA's knowledge architecture, focusing on scalability for extracting knowledge from unstructured data, deep analytical reasoning, and integration with large language models. You will work closely with end-product teams to refine AIDA's capabilities and lead a team of engineers focused on advancing knowledge-driven AI.
Core Responsibilities
• Knowledge Architecture Development: Expand and scale AIDA’s knowledge architecture, enabling robust knowledge extraction and reasoning capabilities from unstructured data sources.
• Agentic LLM Integration: Integrate knowledge structures with large language models within an agentic architecture for accurate question answering, reporting, and analysis within AIDA’s environment.
• Product Collaboration: Work closely with end-product teams to ensure seamless integration of knowledge systems with real-world legal applications, optimizing for relevance and accuracy.
• Evaluation and Testing: Implement continuous testing and evaluation protocols on large-scale, real-world data to enhance AIDA’s performance and adaptability.
• Data Curation and Annotation: Oversee collaborations with data annotation teams to curate high-quality datasets, essential for building reliable models for knowledge construction.
• Team Management: Participate in hiring and lead a team of engineers within Epiq AI Labs dedicated to advancing knowledge architecture.
Technologies We Use
• Backend languages: Python, C#, Java.
• Database systems: Lucene, PostgreSQL, Qdrant.
• Containerization and orchestration: Docker, Kubernetes.
• CI/CD tools: GitHub Actions, CircleCI, Gradle.


Infrastructure/Systems Engineer: Design/optimize ML video processing infrastructure. Must have 2+ years in infra projects, Kubernetes, scaling, Go/Python/Rust. CS degree from top university. Passion for AI/video. On-site in SF/NYC; visa sponsorship available. Salary: $130K-$220K. Interest in early-stage startups and Sieve required.

Zening Fang

Ashwin Raja (he-him)

<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sievedata.com/">Sieve</a> is an AI compute platform for video. Our goal is to build useful primitives to understand, manipulate, and create video so we can accelerate all applications of it.Today, video makes up over <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.socialpilot.co/blog/video-marketing-statistics">82% of internet traffic</a> and every application of it is growing extremely quickly — media, communications, VR, gaming, robotics, automotive, etc. TikTok went from 0 → 2B users in the last decade. Video conferencing is used many times a day by every knowledge worker. <a target="_blank" rel="noopener noreferrer nofollow" href="https://deepmind.google/technologies/veo/veo-2/">Google’s Veo 2 model</a> generates physically realistic video. Waymo now has <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.thedriverlessdigest.com/p/waymos-market-share-is-now-equal">more market share than Lyft</a> in SF ride share. Tesla is scaling humanoid robots.As these applications grow, the need to process video grows too. But unlike other data types, video is complex, and applications of it require purpose-built pipelines to tackle specific problems. Some examples:<ul><li>Translating videos with perfect voice timing + intonation and on-screen text manipulation</li><li>Tracking which person is actively speaking in a video</li><li>Collecting &amp; cleaning millions of highly emotive talk head video for foundation model training</li><li>Tracking eye gaze and exact emotion of people as they react</li><li>Separating the foreground and background of a high-motion video clip</li><li>Finding all the most interesting plays in a sports game recording</li></ul>At Sieve, we engineer production-grade pipelines to understand, manipulate, and create video — along with flexible abstractions to run custom pipelines. These pipelines already power core features in some of the most popular creative and social video platforms in the world, and are also helping research teams collect &amp; annotate large datasets to train better video models.Why developers use SieveThe unique complexity of video requires both R&amp;D and infrastructure that is intricate, expensive, and time-consuming to build in-house. Sieve comes with a set of production-grade pipelines engineering teams don’t need to worry about building or maintaining, along with infrastructure abstractions that make it easy to develop increasingly complex and specific video processing tasks on top.

Co-Founder, CEO

Sieve

Sieve is the AI developer platform for video. We build & manage production-grade pipelines that can understand, manipulate, and create it for a variety of applications. These pipelines serve as useful primitives which developers can then use to power their applications across industries like communications, social, media, robotics, and VR.

We're looking for a Infrastructure/Systems Engineer to join our team in SF or NYC. They'll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML pipelines that need to run quickly, reliably, and cost-effectively on large sums of video.Sieve’s backend involves complex infrastructure working to deliver a simple, seamless experience for the customer. This person will spend their time improving the both the reliability and speed of our system, directly impacting the quality of life for our customers.We primarily code in Go, Python, and Rust, on top of Kubernetes. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Familiarity with these is not required, but certainly encouraged.

Infrastructure / Systems Engineer

About the role
Sieve’s backend involves complex infrastructure working to deliver a simple, seamless experience for the customer. You will spend your time improving the both the reliability and speed of our system, directly impacting the quality of life for our customers.

We primarily code in Go, Python, and Rust, on top of Kubernetes. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Familiarity with these is not required, but certainly encouraged. Some indicators of a good fit for this role include:

Interest in challenging infrastructure problems
Can intuitively prioritize feature development based on product impact
Great communication skills
Prior experience building production or open-source infra projects
Check out this page to learn more about the company and what it's like to work with us!

https://sievedata.com/about/jobs

About Sieve
Sieve is a specialized cloud built for video / audio AI.

Every video product today is being overwhelmed by a ton of new use cases that are enabled by AI. Video is unique in that it’s much more compute and data-intensive to process or generate compared to other modalities. This leads to a ton of complexity around the ways models are run, the kinds of extra processing needed to happen around them, and the complexity of pipelines that solve the most valuable use cases in the modality. To this end, Sieve’s strongest and most immediate value proposition comes from being an AI toolkit that solves problems unique to video — unlike generic AI developer tools that might exist today.

Video is just the start however. Learn more about our long term vision here!

Backend Software Engineer in NYC, hybrid. Focus on integrating AI R&D into production. Proven backend development for live environments, AI model integration experience. Strong in data structures, distributed systems, API design. Academic background in CS or related. No visa sponsorship. Salary: $180K-$210K.

Ashwin P N

Aditya R.

As a Backend Software Engineer focused on AI R&amp;D Integration, you’ll play a critical role in developing and implementing backend solutions that bring advanced AI capabilities into the platform. You’ll work in close collaboration with our R&amp;D team to rapidly iterate on new AI features, integrating experimental models and data-driven solutions into our product. This role requires an agile approach, as you’ll bridge the gap between R&amp;D and production, iterating quickly and collaborating across functions to ensure that new capabilities seamlessly meet user needs.Core Responsibilities<ul><li>Collaborate closely with AI R&amp;D: Partner with R&amp;D engineers to understand and integrate AI models, adapting backend systems to support experimental features and iterative improvements.</li><li>Design and maintain scalable systems: Architect backend solutions that support high-performance AI-driven applications, balancing rapid development cycles with robust production quality.</li><li>Develop APIs for AI-enhanced workflows: Build APIs that facilitate the integration of AI capabilities, ensuring seamless interaction between new features and core platform components. </li><li>Optimize for performance and scalability: Continuously improve the backend infrastructure to meet the low-latency demands of data-intensive legal applications.</li><li>Enable rapid iteration: Support a CI/CD environment that allows for fast prototyping and deployment of new AI features.</li></ul>

AI/ML Integration Engineer

AI Integration Engineer

          

About Epiq AI Labs 
At Epiq AI Labs, we’re building an AI-driven platform for legal discovery and knowledge management. Our mission is to transform how law firms and legal service providers manage complex litigation, process documents, and uncover actionable insights. By empowering our partners with cutting-edge technology, this AI-driven platform enables the discovery of hidden connections, accelerates decision-making, and ultimately drives better legal outcomes.
The Role 
As a Backend Software Engineer focused on AI R&D Integration, you’ll play a critical role in developing and implementing backend solutions that bring advanced AI capabilities into the platform. You’ll work in close collaboration with our R&D team to rapidly iterate on new AI features, integrating experimental models and data-driven solutions into our product. This role requires an agile approach, as you’ll bridge the gap between R&D and production, iterating quickly and collaborating across functions to ensure that new capabilities seamlessly meet user needs.
Core Responsibilities
· Collaborate closely with AI R&D: Partner with R&D engineers to understand and integrate AI models, adapting backend systems to support experimental features and iterative improvements.
· Design and maintain scalable systems: Architect backend solutions that support high-performance AI-driven applications, balancing rapid development cycles with robust production quality.
· Develop APIs for AI-enhanced workflows: Build APIs that facilitate the integration of AI capabilities, ensuring seamless interaction between new features and core platform components.
· Optimize for performance and scalability: Continuously improve the backend infrastructure to meet the low-latency demands of data-intensive legal applications.
· Enable rapid iteration: Support a CI/CD environment that allows for fast prototyping and deployment of new AI features.
Technologies We Use
· Backend languages: Python, C#, Java
· Database systems: Lucene, PostgreSQL, Qdrant
· Containerization and orchestration: Docker, Kubernetes
· CI/CD and build tools: GitHub Actions, CircleCI, Gradle

What We Require
· Proven experience in backend development for live production environments, ideally with exposure to AI model integration.
· Strong grasp of data structures, distributed system architecture, and API design for microservices.
· Background in Computer Science, Software Engineering, or a related field.
· Ability to balance rapid iteration with code quality and production stability.


Data Scientist: Python proficiency (Pandas, NumPy, etc.), strong ETL/data engineering (dbt, Airflow), modern data visualization, cloud infra experience. Focus on marketing analytics, productionizing ML models, identity resolution. Remote, visa sponsorship available. Salary: $160k-$210k. Collaborate with product teams, drive growth insights into Primer's platform.

Danish Khan

Brian Bien

### **Martech fragmentation and saturation has gone too far.**

Our world is flooded with data.
‍
In a perfect world, more data would mean better markets. Products would easily reach the customers that most need them. Buyers would get less spam and find more high-value solutions.

But our world is far from perfect.

Hamstrung by limited ad platforms and an increasingly fragmented yet siloed world of martech tools, GTM teams are forced to jerry-rig their way into scaling a growth engine. They spend hours stitching together data and tools and wasting millions on spray-and-pray campaigns. We think that’s crazy. That’s why we built Primer.

 Primer

We’re looking for a Data Scientist who has built and run marketing/growth analytics at companies like Shopify, OpenStore, Wish, OpenDoor, etc. —someone who understands what drives marketing performance and can translate that knowledge into a product. Your work won’t be about one-off dashboards or internal tools. It will be about baking high-impact growth insights directly into Primer’s platform so our customers can make better decisions at scale.This means two things:<ol><li>Deep expertise in growth &amp; performance marketing analytics – You’ve worked on problems like:<ul><li>When should performance marketers rotate creative due to ad fatigue?</li><li>What are the most successful campaigns, and how should they be optimized?</li><li>When should we use email vs. paid ads, and how should incentives be structured?</li><li>How do we detect underperforming segments before they become a problem?</li><li>How do we build the right data pipelines to answer these questions in real time?</li></ul></li><li>Strong experience in productionizing models &amp; algorithms – This isn’t an internal data role. The models you build will be a core part of Primer’s product experience. You’ll take insights and models from 0 to 1—working with messy data, developing robust models, and deploying them into a production environment used by our customers.</li></ol>But this role isn’t just about marketing analytics—you’ll also work closely with our Audiences &amp; Data team to improve data acquisition, delivery, and match rates. This means taking on challenges like:<ul><li>How do we increase data acceptance and match rates in platforms like LinkedIn and Google Ads?</li><li>How do we source and integrate new data types to expand Primer’s dataset?</li><li>How do we use deterministic and probabilistic methods to improve identity resolution and first-party data integration?</li></ul>If you love taking raw, messy data and turning it into high-leverage insights that impact strategy, this role is for you.

Data Scientist

Small in-person in SF, but most of team is remote, tend to skew towards east coast time zones

NYC-based, on-site/remote. Seeking a senior backend engineer passionate about AI. Must have strong Python skills, experience with Google Cloud, Postgres, Django, and startup experience. Own core systems, design critical infrastructure, tackle complex backend issues. Bachelor's from top CS school. Visa sponsorship available. Salary $150K-$200K.

Gunjan Dayani

At Vellum, our mission is to be the primary platform companies use to bring AI into production. AI is the biggest platform shift since the internet, the applications are everywhere! With foundation models getting better we expect the world to be dramatically different in the future. We intend to be the platform layer to bring this amazing technology to life in production use cases.We enable companies to bring real business value from AI / LLMs. The output generated by AI / LLMs is usually stochastic and bringing AI into production requires robust testing and choosing the right model for the job. We’ve seen companies spend months of engineering time building good tooling for this (time which could be spent on their core end user facing product) and despite this they struggle to get the best results out of these models. Our platform provides companies best in class tooling to use their own data in production AI applications.We’re a YC W23 company, raised $9.5m and are backed by top investors like Rebel Fund, Eastlink Capital, Arash Ferdowsi (co-founder of Dropbox), Dharmesh Shah (co-founder of Hubspot), Dan Scholnick (board member of Weights &amp; Biases, Docker, New Relic), and Divya Bhat (former YC group partner, 2x CEO). We announced our fundraise on TechCrunch here: <a target="_blank" rel="noopener noreferrer nofollow" href="https://techcrunch.com/2023/07/11/prompt-engineering-startup-vellum-ai/">https://techcrunch.com/2023/07/11/prompt-engineering-startup-vellum-ai/</a>We’re excited to build our core team. The initial team will play a key role in the long term growth of the company.​P.S: Why the name Vellum? - Vellum is a type of paper - the Magna Carta was written on Vellum. We intend to be the standard source of record in production - You can’t spell Vellum without LLM 😉

Co-founder and CTO

Vellum AI

What it means to be an early engineer: Joining Vellum this early means that you’re going to play a huge part in guiding both the technical and cultural evolution of the company. Together, we’re going to face the hardest technical challenges this journey has to offer head on. As the team grows, you’ll be the battle hardened expert that everyone looks towards for guidance. With great power comes great responsibility 🙂

Senior Software Engineer - Backend 

We can do H-1B transfers or O-1 applications on a case by case basis

In-person in NYC or remote (NYC preferred)

H2 Corporation, Tokyo-based SaaS in construction AI, seeks AI Engineers. Must curate synthetic data, expert in Python, Pytorch/Keras/Tensorflow, LLMs, Diffusion models. Optimize ML models for GPU/CPU. Design CV algorithms, deploy production models. 3+ years ML experience. Remote or on-site in Japan. Visa sponsorship available. Salary: $125k-$200k.

Nastaran Emaminejad, Ph.D.

Eugene Grois

H2 Corporation is a rapidly growing Tokyo-based SaaS company developing an innovative vertical AI platform in the 13 trillion-dollar construction industry. Our platform is already transforming the landscape through cutting-edge technology and AI-driven solutions. We recently exited stealth mode, raised funding from the top VCs in Japan and the US, and are rapidly accelerating our product development and go-to-market initiatives. As an AI Engineer (CV) you will be part of our AI engineering team where you will develop cutting-edge computer vision AI systems. Your expertise in computer vision techniques, generative models, and AI research will guide our efforts in creating groundbreaking products and services. You will play a pivotal role in shaping our AI strategy and products and fostering a culture of innovation.

H2 Corporation

AISekisan is the world's first cloud-based build estimator tool that incorporates advanced AI to perform complex material takeoffs from 2D drawings. AISekisan can perform takeoffs for route based materials such as pipes and ducts, a wide-range of symbols, and even auto calculate size of pipes and ducts in seconds. 

The ideal candidate is excited to be an early member of the engineering team of a well-funded startup. You’ll have autonomy to make decisions and quickly build products from the ground up. You’ll play a significant role in designing, developing and operating CV algorithms, Machine Learning models, including CNNs and Transformers, and pipelines at scale, for both batch and real-time use cases.

AI Engineer (CV)

AI Engineer (CV) - Global
Description
H2 Corporation is a rapidly growing Tokyo-based SaaS company developing an innovative vertical AI platform in the 13 trillion-dollar construction industry. Our platform is already transforming the landscape through cutting-edge technology and AI-driven solutions. We recently exited stealth mode, raised funding from the top VCs in Japan and the US, and are rapidly accelerating our product development and go-to-market initiatives.

As an AI Engineer (CV) you will be part of our AI engineering team where you will develop cutting-edge computer vision AI systems. Your expertise in computer vision techniques, generative models, and AI research will guide our efforts in creating groundbreaking products and services. You will play a pivotal role in shaping our AI strategy and products and fostering a culture of innovation.

<The Role>

The ideal candidate is excited to be an early member of the engineering team of a well-funded startup. You’ll have autonomy to make decisions and quickly build products from the ground up. You’ll play a significant role in designing, developing and operating CV algorithms, Machine Learning models, including CNNs and Transformers, and pipelines at scale, for both batch and real-time use cases.

<Responsibilities>
• Design and develop performant algorithms and AI models, specializing in production-level AI and leveraging advanced computer vision techniques.
• Engage in cutting-edge AI research to push the boundaries of what is possible with both CNN/Transformer and generative models.
• Work closely with cross-functional teams to integrate AI solutions into our products and services, optimizing for technical and cost performance, and aligning with user needs.
• Apply in-depth technical knowledge to solve complex problems in AI, driving innovation in our product.
• Stay up-to-date with the latest advancements in AI/ML technologies and methodologies, evaluating and adopting new tools and frameworks as they are released.
• Ensure the responsible use of AI within projects, advocating for ethical practices, including transparency, diversity, and privacy.
Requirements
• 3+ years in software development in a fast-paced tech environment
• 3+ years of experience building Machine Learning models in production settings. Your role is not just the research and experimentation, but also to deploy models to a production environment.
• You’re extremely comfortable with Python and deep learning frameworks such as Pytorch / Keras/Tensorflow (strong requirement).
• Deep understanding of machine learning concepts, algorithms and techniques (computer vision models, GANs, etc.)
• Strong understanding of LLMs and Diffusion models (Stable Diffusion, Llama, Mistral, LoRAs, fine-tuning, etc.)
• Able to experiment and stand-up existing open source models in production systems.
• Able to curate synthetic data.
• Able to optimize ML models for hardware (GPU/CPU optimization, etc.).
• A strong problem-solver with the ability to tackle complex technical challenges, providing innovative solutions and contributing to the product development process.
• Strong communication and leadership abilities.
Working Conditions
Salary	125K〜200K USD
Location	Work 100% remotely if you choose to do so or relocate to Japan if you'd like. We can issue a 3-year work visa.
Work hours	• Competitive salary and benefits package.
• Help build a first-in-the-industry product from the ground up
• A collaborative, inclusive, and dynamic work environment in a high-growth start-up.
• Work with a set of industry veterans that have 15+ years experience from early start-ups to the biggest tech companies.
• Opportunities for professional growth and development.
• Work 100% remotely if you choose to do so.
• Relocate to Japan if you choose to do so, we can issue a 5-year work visa.
• We are an equal-opportunity employer and value diversity and inclusion at our company.
Company information
Name	株式会社H2Corporation
Established	2020年11月
Address	東京都渋谷区鶯谷町13-1
Capital	411,000,000（資本準備金を含む）
Employees	27（業務委託を含む）

Work 100% remotely if you choose to do so or relocate to Japan if you'd like. We can issue a 3-year work visa.

Axle seeks Applied AI Engineer: Must have deep LLM knowledge, full-stack dev skills, CS/AI/ML background. Build AI-driven fintech solutions, optimize models, handle financial data. NYC on-site, 5 days/week. Visa sponsorship available. Salary: $150K-$190K. No IBM/consulting backgrounds.

Axle is a NYC-based technology company enhancing productivity and efficiency in the capital markets. We enable investment banks to market and sell securities to institutional investors with greater accuracy and efficiency through automated workflows, collaborative client engagement, and AI-driven recommendation engines. Our mission is to expand access to and grow the public equity markets. We’re proudly backed by venture firms Eniac Ventures, Manresa Ventures, Power of N, and Atman Capital, as well as Wall Street executives from Citadel, JPMorgan, Goldman Sachs, Octahedron Capital, and more.

Axle

Axle is looking for an Applied AI Engineer who is ready to drive innovation across the platform. They will have a chance to shape the future of a fast-growing fintech startup at the intersection of financial markets, AI, and software engineering and drive change in the banking industry.We're looking for a strong full-stack engineer with expertise in web frameworks, backend development, and infrastructure to build AI-driven features leveraging large-scale financial and proprietary data, as well as cutting-edge technologies. If you're passionate about applying LLMs to real-world production use cases and driving innovation in financial markets, this role is foryou.This is an in-person role at our Flatiron office in NYC, five days a week.What You’ll Do<ul><li>Ship full-stack AI projects end to end.</li><li>Optimize models for investor targeting, recommendation systems, and predictive analytics.</li><li>Work with structured and unstructured financial and proprietary behavioral data.</li><li>Develop and improve engineering processes, tools, and systems to scale AI solutions across Axle.</li></ul>

Applied AI Engineer

Full stack engineer in NYC, on-site, no visa sponsorship. Must excel in native dev (Kotlin, Swift, C#), ML (pytorch), DevOps, and JS/TS (React). Emphasis on customer interaction and product management. Experience in strong engineering cultures preferred. Series Seed/Pre-A stage with $2.7M raised. Salary: $110K-$180K.

Vendora is building a generational company in one of the largest industries out there - grocery. We build software to serve the $1 trillion dollar (over 3% of US GDP) grocery industry. This ranges from point of sale, payments, e-commerce, inventory management, loyalty, and advanced analytics with more on the horizon.We’re taking bleeding edge technology and an AI-focused approach to modernizing an industry stuck in legacy software and practices. Backed by Y Combinator and investors with deep expertise in retail, we are a team of operators from Amazon, Uber, Tesla, Figma and McKinsey in transforming a sector that touches us all.

Vendora

We’re hiring a full stack software engineer to join our small, yet mighty team. We ship and maintain a ton of software. We do it with way less than the incumbents. That requires a builder culture, bias for action, and maniacal customer obsession.You’ll cover a lot of ground. Imagine building APIs that sync hundreds of thousands of products across multiple platforms in seconds one day, designing a model that pinpoints exactly when a store needs to reorder merchandise another day, and integrating our software with multiple hardware vendors the next. If that excites you, we invite you to apply.This role is in-person five days a week in our Williamsburg office.Key Responsibilities:<ul><li>You’ll ship entire products end to end as well as building and maintaining features across mobile, web, and backend. No task too big or small.</li><li>Be your own product manager and deal with ambiguity, understand what we are building for customers, why, and build to that vision.</li><li>Talk to our users every chance you get. You’ll be frontline support and engage closely with customers on what they want and need</li><li>Have high standards, drive engineering excellence, introduce new ideas, and solve problems</li><li>Build a resilient, scalable foundation for growth. Design systems that last and document them well so others can build on your work.</li></ul>

Full Stack Software Engineer

About the role
We’re hiring a full stack software engineer to join our small, yet mighty team. We ship and maintain a ton of software. We do it with way less than the incumbents. That requires a builder culture, bias for action, and maniacal customer obsession.

You’ll cover a lot of ground. Imagine building APIs that sync hundreds of thousands of products across multiple platforms in seconds one day, designing a model that pinpoints exactly when a store needs to reorder merchandise another day, and integrating our software with multiple hardware vendors the next. If that excites you, we invite you to apply.

This role is in-person five days a week in our Williamsburg office.

Key Responsibilities:

You’ll ship entire products end to end as well as building and maintaining features across mobile, web, and backend. No task too big or small.
Be your own product manager and deal with ambiguity, understand what we are building for customers, why, and build to that vision.
Talk to our users every chance you get. You’ll be frontline support and engage closely with customers on what they want and need
Have high standards, drive engineering excellence, introduce new ideas, and solve problems
Build a resilient, scalable foundation for growth. Design systems that last and document them well so others can build on your work.
Our Stack:

Javascript (Typescript, React.js, React Native, Node.js, Next.js, Express)
Tailwind/Nativewind, Shadcn
MongoDB and PostgreSQL (Supabase)
AWS, GCP, Docker
Nice-to-Have Experience:

Native development (Kotlin, Swift, C#), especially developing for Windows
LLM applications (using RAG, agent frameworks, etc.)
Machine Learning, specifically pytorch and open source models
DevOps (infrastructure as code, observability, monitoring, security)
About Vendora
Vendora is building a generational company in one of the largest industries out there - grocery. We build software to serve the $1 trillion dollar (over 3% of US GDP) grocery industry. This ranges from point of sale, payments, e-commerce, inventory management, loyalty, and advanced analytics with more on the horizon.

We’re taking bleeding edge technology and an AI-focused approach to modernizing an industry stuck in legacy software and practices. Backed by Y Combinator and investors with deep expertise in retail, we are a team of operators from Amazon, Uber, Tesla, Figma and McKinsey in transforming a sector that touches us all.

This role is in-person five days a week in our Williamsburg office.

NYC-based, hybrid work. No visa sponsorship. Looking for full-stack engineer with strong CS fundamentals, ideally experienced in database systems and B2B SaaS. Work on React frontend, scalable infrastructure, AI workflows, and query optimization. Must thrive on fast-paced growth, customer impact, and solving complex problems. Salary: $160K-$200K.

Cotera is building a platform that allows any business to automate anything with AI. We’re starting with Customer Experience teams, where LLMs have radically changed the scope of what can be analyzed and automated.We're an in person team that moves fast and thinks independently.

Cotera

We're looking for a talented software engineer to join our team. The platform is incredibly ambitious, and the role will test your ability to work across the stack, solve business problems, and work with data at scale. We don’t put a number on experience, and the role will suit anyone who is smart, ambitious, on a steep personal growth curve, who moves fast, and cares deeply about making their customers successful.What You'll Do<ul><li>Work on our React Frontend that uses DuckDB WASM to allow customers to interact with their data</li><li>Build infrastructure that processes millions of automations for our customers</li><li>Improve our relational algebra compiler that transforms complex data operations into efficient data warehouse queries</li><li>Expand on our multi tier query caching system that can share partial results between queries</li><li>Develop intuitive user interfaces that help customers build sophisticated AI workflows without headaches</li><li>Solve challenging problems at the intersection of distributed systems, compiler theory, UX, and practical AI applications</li></ul>What Makes You a Great Fit<ul><li>You’re ambitious and are looking for a steep personal growth curve</li><li>You want to build great products, and care about everything from UX to Infrastructure.</li><li>You like to work fast and get things into customers’ hands</li><li>You love solving complex technical problems and can think independently</li><li>You have a strong grasp of computer science fundamentals and system design</li><li>You're comfortable diving into unfamiliar codebases and making them better</li><li>You hate communication overhead and want to talk to customers directly</li></ul>Our Tech StackWe use TypeScript, PostgreSQL, React, and run on Kubernetes in GCP. However, we care more about your fundamentals, and your ability to learn and adapt than specific technology experience. The right candidate will have no problem picking up any of these quickly.

Software Engineer

full-time, 4 days in office, 1 day remote, NYC only (relocation offered--all our engineers relocated to NYC for our team!) 

ML Engineer with strong Python, deep learning frameworks. Experience in building production ML models. Mix of startup/big tech experience preferred. Responsibilities: Develop AI models for SVG generation, collaborate with a small team, innovate and implement solutions. Location: US/Canada, remote. Visa: Sponsorship available.

Loïc Muhirwa

BioRender is revolutionizing how science is communicated, one graphic at a time (you can think of us as the Adobe or Canva for science!). We're on a mission to accelerate science by empowering all scientists to quickly and easily communicate their research. We are a team of passionate scientists, engineers, science illustrators, designers and entrepreneurs backed by an incredible group of investors, including YCombinator. We nerd out on cool science stuff and solving big problems. We work really hard and sweat the details to deliver a high impact product that our users love.Check out our customer love here: <a target="_blank" rel="noopener noreferrer nofollow" href="http://biorender.com/testimonials">biorender.com/testimonials</a>

BioRender

Role Overview Join BioRender as one of our first ML engineers working on a novel challenge: developing AI models that generate scalable vector graphics (SVG). Unlike traditional image generation models that produce pixelated outputs, you'll be pushing the boundaries of what's possible with editable, scalable vector graphics generation.What You'll Do<ul><li>Design and implement novel ML architectures for vector graphics generation</li><li>Research and evaluate cutting-edge approaches in generative AI and computer vision</li><li>Drive technical decisions around model architecture and deployment</li><li>Collaborate with a small, high-caliber team of ML engineers</li><li>Balance research innovation with practical implementation</li><li>Identify opportunities for leveraging existing open-source solutions</li><li>Build and deploy production-ready ML models</li><li>Set technical direction for core ML infrastructure</li></ul>

Machine Learning Engineer

Fully remote with flexible hours; Optional participation in:  Hackathons (periodic) with annual on-site meetup

Member of Technical Staff at Anterior in NYC. Hybrid work, visa sponsorship available. Must excel in past roles, ideally CS degree from top 20 uni. Lead design/maintenance of scalable backend systems, collaborate with product managers/clinicians, manage high-throughput infrastructure, mentor juniors. $160K-$220K salary.

Our AI platform reduces your organization's administrative burden and helps your clinicians turn clinical chaos into clarity.

As a Member of Technical Staff at Anterior, you will take ownership of complex technical challenges, delivering impactful solutions that align with our mission. You’ll work closely with a multidisciplinary team to shape scalable infrastructure, craft robust backend systems, and co-create transformative tools for clinicians.Responsibilities:<ul><li>Lead the design, implementation, and maintenance of scalable infrastructure and backend services.</li><li>Collaborate with Product Managers and clinicians to create user-centric solutions.</li><li>Build and manage infrastructure for high-throughput systems with significant user bases.</li><li>Leverage expertise in multi-cloud environments, including Azure, AWS, and on-premises architectures.</li><li>Apply Infrastructure as Code (IaC) principles using tools like Terraform, Docker, and CI/CD pipelines.</li><li>Ensure software quality through best practices, including modular code, testing, and secure design.</li><li>Mentor junior engineers and contribute to a culture of growth and innovation.</li></ul>

Member of Technical Staff - Product Engineering

Remote (US), no visa sponsorship. Senior Engineer for Computer Vision team. Must have PhD/Master's in CS or related, 3+ years in 3D computer vision, strong C++ skills, familiarity with CUDA/Metal/OpenCL. Focus on algorithms, production code, and team leadership. Salary: $155k-$205k.

Justin London

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.

Compound Eye

We're looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.

Senior Engineer, Computer Vision

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
As a computer vision engineer at Compound Eye you’ll contribute to design and development of various core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial odometry, and more. You will:
Contribute to the development of state-of-the-art techniques and algorithms for robotic perception
Write production code in C++ for a variety of platforms, including GPUs
Help to recruit and potentially lead a team of similarly-qualified engineers
To thrive in this role you have:
A good grasp of linear algebra
Extensive experience writing production quality code in C++
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL
We’re looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.

Additional Notes:
Direct classical computer vision experience
Of particular interest are people that worked with pose estimation, calibration and sensor fusion.
Experience (and interest) focused on classical algorithms.
They will be creating and implementing very mathematically involved algorithms.
They will implement them in C++.
Heavy skills in 3D math & non-linear optimization.
We don’t prioritize years of work, but I would be surprised if anyone with fewer than 3 years experience hits this.
Work history and skills are more important than degrees and alma maters.
Transparent that we work in defense. We know this isn’t for everyone and our product is focused on consumer vehicles long-term, but for now, we do have defense projects.
Posted Range: $155-205 USD
Some travel required: ~5%
At this time we can’t accept visa candidates for this role due to government contracts. US Citizens or Greencards only.
Interview Process:
Application Review
Coding Challenge
Technical Interview (45 minutes)
Multipart Technical Interview
Offer
Company Notes:
Remote First, Permanently
US Based only
Can work from our office in Redwood City, but most days it’s empty
Team get togethers a couple times a year are optional but highly recommended
Equity (still under 20 EEs)
Medical/Dental/Vision
401k w/ match
Discretionary PTO (and we mean it)
Paid Family Leave

Must be a US citizen or current green card holder

Remote (US), working in PST, up to 5% travel required

Full-stack engineer wanted in NYC. Must work on-site. JavaScript, TypeScript, React experience essential. Build large-scale systems with Node.js, AWS; focus on healthcare AI tech. 3-6 years experience, startup background preferred. No visa sponsorship. $150k-$190k salary. Passion for healthcare innovation required.

<a target="_blank" rel="noopener noreferrer" class="sh-color-grey sh-color" href="https://clarionhealth.com/">Clarion</a>&nbsp;is building the AI communication layer for healthcare, helping health systems automate complex workflows like end-to-end like&nbsp;scheduling, verification of benefits, and prescription&nbsp;refills using AI voice and SMS agents. We're well-funded with $5m+ raised and backed by top investors like Accel and Y Combinator. We are looking to hire smart people who want to move fast, ship quality code, and solve hard technical problems that directly impact healthcare providers and their patients.

Clarion

Clarion is building an AI communication platform that automates patient conversations and workflows for healthcare organizations. Our technology handles complex tasks like scheduling, billing, and prescription refills across multiple channels, helping providers improve efficiency and deliver better patient care.

We're looking for an exceptional full-stack engineer to join our mission of improving healthcare with voice AI technology. You'll build systems to enable natural conversations between humans and AI. This is new territory – you'll work on unsolved problems and find novel ways to automate healthcare workflows using language models. As an early member of our team, you'll help define our technical approach and the products we create. Your work will become the basis for systems that change how patients and healthcare providers interact.

Founding Engineer

About the role
We're looking for an exceptional full-stack engineer to join our mission of improving healthcare with voice AI technology. You'll build systems to enable natural conversations between humans and AI. This is new territory – you'll work on unsolved problems and find novel ways to automate healthcare workflows using language models. As an early member of our team, you'll help define our technical approach and the products we create. Your work will become the basis for systems that change how patients and healthcare providers interact.

WHY JOIN US

Impact: Be a key part of building technology that makes healthcare more accessible, affordable, and human for millions.
Team: Join a founding team with deep technical and clinical expertise. We've worked at leading tech and healthcare companies like Ophelia, Two Chairs, and Amazon.
Growth: Join at an inflection point - shape our technical foundation and culture while taking ownership of major projects.
Technology: Work with cutting-edge AI tech including advanced language models, voice AI, knowledge graphs. Learn and build with the latest generative AI stack.
REQUIREMENTS

Exceptional full-stack engineering skills with 1-4 years of experience
Versatile skill set across backend, frontend, research, and product
Passion for using language models and voice technologies in healthcare
Self-starter mindset and drive to deliver end-to-end solutions
Product-minded with a keen design sense, able to craft intuitive UX/UI
Thrives in intense, collaborative, in-person work environments; aligns with our mission
INTERESTING TECHNICAL CHALLENGES

Tailor AI language models to understand and process medical data
Build reliable systems for seamless real-time AI conversations
Ensure AI models are safe and dependable in healthcare settings
Create self-improving AI models that learn from new data over time
Help healthcare stakeholders understand AI decision-making processes
TECH STACK

Backend: NodeJS, Typescript, Python
AI/ML: OpenAI, Anthropic, LlamaIndex, Scikit, ElevenLabs, Deepgram
Infrastructure: Supabase, PostgreSQL, Kubernetes
Frontend: React
BENEFITS

Healthcare: We cover 100% of medical, dental and vision with several plan options
Equity: We offer generous equity grants for joining early in our journey
About the interview
At each stage, we decide within 24hrs and update you shortly after.

Intro (15min) [Virtual]: Informal chat for you to learn more about the role. We'll ask for details on past projects. We want to know that you can code and speak about your work clearly. You're welcome to ask lots of questions about whether working at Clarion makes sense for you.
Experience (30min) [Virtual]: We'll dive into the details of your most technically complex or challenging projects. Our goal is to ensure you've worked on sufficiently challenging projects to ensure you'll be successful if you join us full-time. We'll also reserve 5-10min to answer any questions you have about Clarion.
Coding (1hr) [Virtual]: You'll meet with our CTO. He'll ask you 1-2 coding questions in your language of preference. We'll test how you write, test, and debug solutions, and identify tradeoffs.
On-site (Co-working half-day) [In-Person]: You'll interview with each co-founder. This will be a deeper dive into your technical abilities and overall fit. Each interview is 1hr, 45min for our questions, and 15min for yours.
About Clarion
We're on a mission to make healthcare more accessible and human with voice AI technology. Our platform enables healthcare organizations and their staff to automate phone-based workflows typically handled by humans. We partner with health care organizations to reduce their operational expense and eliminate administrative burden.

Our founders bring a blend of clinical experience and technical expertise. Ryan is a Stanford/Harvard trained physician formerly on the founding team of Two Chairs and Ophelia (W20). Jeff formerly worked on voice AI at Amazon Alexa and ML projects at Citi/Salesforce.

We have incredible traction and a healthy pipeline of health systems to grow into. We are well funded and backed by top investors, including Y Combinator.

In NYC, or Remote and open to moving to NYC

NYC-based, in-office, 5 days/week. Lead on Data & Infrastructure team. Architect scalable systems, build ETL pipelines. Must jump across disciplines, prefer office shouting over Slack. Startup mindset essential. Visa sponsorship available. Salary $100K-$300K. Experience in building large-scale distributed systems crucial. Excited to shape engineering culture.

Basis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getbasis.ai/about">here</a>.Why join<ul><li>World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross and many leaders from the ML and fintech community. Check out our announcement for an expansive list</li><li>Extremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months</li><li>Be part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1</li><li>In person &amp; interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems</li><li>High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun</li><li>Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too</li></ul>

Basis

As a leader on our Data &amp; Infrastructure team, you'll be responsible for designing, building, and maintaining the infrastructure that powers our AI research and products. We look for engineers with experience in building large-scale distributed systems who are excited to apply that expertise to architect systems from the ground-up as Basis becomes the industry-standard.In this role, you'll be responsible for architecting scalable server infrastructure, designing efficient data pipelines, configuring for optimal scaling, and developing alerts and monitoring systems, among other projects. Working with our co-founders and head of engineering, you will also help shape our early engineering culture and build out the early scaled engineering team.

Member of Technical Staff - Data & Infrastructure (Staff)

Avoca (YC W23) needs a founding engineer with 2-4 years in high-growth startups, strong engineering cred, top school background (MIT, Stanford, etc.). Build AI-powered CSR, develop complex systems fast. Navigate ambiguity, prioritize ruthlessly, customer empathy a must. On-site/remote in SF or NY. Visa sponsorship available. $120K-$170K.

Avoca (YC W23) is building the AI Sales agent for the Trades - bringing AI to the industries that need it the most.The founders are two MIT engineers with a background in building AI first products: Apurva Shrivastava, a 2nd time AI founder who was an engineer at Retool, and Tyson Chen, who was an early PM at Nuro and previously built chatbots for F500 companies at BCG.Since entering the trillion dollar home services market just 9 months ago, Avoca is going through exponential growth and is poised to revolutionize the entire industry with its powerful AI agents capable of closing leads across all communication mediums (call, text, web-chat, lead aggregators).

Avoca

Avoca (YC W23) is building the AI Sales agent for the Trades - bringing AI to the industries that need it the most. We are looking to bring on an exceptional founding engineer to help us in our mission to revolutionize the way businesses interact with their customers by building an AI-powered CSR for interacting with revenue-sensitive customers. We’ve grown to 7 digits in ARR very quickly and are expecting even faster growth.

About the role
We are looking to bring on an exceptional founding engineer to help us in our mission to revolutionize the way businesses interact with their customers by building an AI-powered CSR for interacting with revenue-sensitive customers. We’ve grown to 7 digits in ARR very quickly and are expecting even faster growth.

What we’re looking for:

Full-stack engineer with a background in AI, ideally w/ 2-4 years experience building complex systems quickly 0-1; we love ex-founders or hackers
Note: we're open to exceptional college grads with industry experience (e.g. internship).
Self-directed, high ownership, passionate, low ego; desire to work on a fast-paced, intense, fun team.
Ambition to build a world-class engineering team
Ability to navigate ambiguity, ruthlessly prioritize, have high-degree of customer empathy, and have the mental fortitude of being able to overcome any obstacle.
About Avoca
Avoca (YC W23) is building the AI Sales agent for the Trades - bringing AI to the industries that need it the most.

The founders are two MIT engineers with a background in building AI first products: Apurva Shrivastava, a 2nd time AI founder who was an engineer at Retool, and Tyson Chen, who was an early PM at Nuro and previously built chatbots for F500 companies at BCG.

Since entering the trillion dollar home services market just 9 months ago, Avoca is going through exponential growth and is poised to revolutionize the entire industry with its powerful AI agents capable of closing leads across all communication mediums (call, text, web-chat, lead aggregators).

In-person in NYC (Office in Flatiron, 20th & 5th)

Senior Distributed Systems Engineer for Hightouch's Core Team. Must be product-minded, with experience scaling systems, building data streaming services, and syncing engines. Familiarity with distributed and high-scale systems. Remote work, visa sponsorship available. Salary: $170K-$260K. Focus on sync speed, real-time streaming, and multi-cloud infrastructure. High priority role.

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 are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningful improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Talent

Software Engineer, Distributed Systems (Core)

URL:https://boards.greenhouse.io/hightouch/jobs/4782625004
Apply Now
Software Engineer, Customer Studio Backend
(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

Building upon Reverse ETL’s ability to use SQL to sync to any SaaS tool, Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. Despite being a small team (3 engineers, 1 PM, 1 designer), Customer Studio is our fastest growing product and already accounts for nearly half of our revenue, which also gives this role the potential to have significant impact!

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

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

Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.

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 $170,000 - $240,000 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.
System Design Screen [60m]: Designing a feature end-to-end, including touching the database, API, web frontend, and data warehouse.
Product Sense Interview [60m]: Coming up with potential product and feature ideas in response to customer requirements. Focuses primarily on product solutioning with some technical analysis in determining the feasibility of ideas.
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.
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