Our Native AI platform adapts to each student's needs, helping them learn faster and enjoy school more

Athena

Honored to be a part of this AI project, and looking forward to bringing tremendous AI projects into the world.

Advisor

We help your Generative AI company create a world-class research team through academically informed headhunting, best hiring practices, team building and cultural expertise, and a focus on DEI.  If you have

AmadeusSearch

We help your Generative AI company create a world-class research team through academically informed headhunting, best hiring practices, team building and cultural expertise, and a focus on DEI. If you have recently received funding and you want to build the best research team to enhance or create your product, reach out to become an Amadeus Partner.

Founder

All successful companies have one thing in common: great people. While most experts suggest that founders spend 40% of their time recruiting; we'd like to take sourcing and recruitment off of your plate. Prepay search credits are available for purchase to begin your search process. 

Our Passion

The future of Data, Web3, and the quantitative sciences is our passion. We love speaking to the brightest minds in Data Science, Machine Learning, Crypto Currency, and the many iterations of Web3 that are forthcoming. We are committed to finding, engaging, and maintaining career-long relationships with talent that will become leaders in the future of technology. 

Our Methodology

Our methodology is a combination of automated searching and classical headhunting. We thoroughly vet every candidate we submit to our clients. When you purchase a search credit an expert recruiter will reach out to you to schedule a kick-off call. We will work with you to determine the best job description, salary band, and market approach. Then, we will reach out to our existing network of candidates for preliminary phone interviews. 

We create a market map for your firm, and take a traditional headhunting approach, while simultaneously using automated research tools to engage harder-to-find candidates. 

Search Credits

A search credit correlates to one hire. There are no additional fees for hiring. Search credits never expire and can be rolled on to different hiring needs if your hiring needs change. They must be purchased before a search commences.

Why Use a Flat Fee Model?

Our flat-fee approach allows us to engage a diverse and inclusive slate of candidates and advise candidly on market salary.

Welcome to the Michael Page global company profile.

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents. 

While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Our teams are broken down to focus on industry, assignment type, salary level and location, so your hiring requirements or job search will all be handled by a specialist who knows your sector inside-out. We are confident that our expertise can add value to your recruitment or job search process – get in touch to find out more.

Michael Page

Senior Recruiter

Justine Beirne

Amadeus Search

Computer Vision Engineer in El Segundo, CA. On-site. No visa sponsorship. PhD-level skills in computer vision and geospatial tech required. Build advanced GEOINT AI, create smart AI for satellite constellations, lay foundations for space computers. Must be ruthlessly proactive and ready to sacrifice everything for multi-planetary scale projects.

Olivier Schreiber, Ph.D.

Mauricio Hess-Flores, PhD

Bill R.

Dharnisha Jayasundera

Zaki H.

Odyssey is partnering with industry leaders in AI, satellites, and compute hardware to rebuild the space data pipeline from infrastructure to distribution to delivering advanced real-time actionable intelligence from orbit.

Odyssey

For this role, you'll be building advanced GEOINT AI that'll turn Earth observation into Earth clairvoyance. Make it so advanced that it'll predict where you'll be tomorrow.

Odyssey is building full-stack space supercomputers backed by world-class investors in pursuit of an audacious multi-planetary scale vision. We're looking for a Computer Vision Engineer to join our team in El Segundo, CA!You probably are:<ul><li>The smartest person in every room you've ever been in.</li><li>Irritated by how slow everyone else moves.</li><li>Convinced that "2001: A Space Odyssey" was actually a recruitment video.</li><li>The person who looks at impossible problems and says "Hold my coffee".</li><li>Ruthlessly proactive.</li><li>Ready to sacrifice everything for the chance to build the greatest multi-planetary scale project of your life.</li></ul>Perks:<ul><li>Chance to name a satellite (No, you can't call it 'HAL 9000', we all know how that went).</li><li>Your code will literally be in space. Beat that, GitHub Copilot.</li><li>Unlimited satellite imagery (legal disclaimer: for work purposes only).</li><li>A desk with a view of... well, everything on Earth.</li></ul>

Founding Engineer - Computer Vision

About the job
Company Description: 



Odyssey is building full-stack space supercomputers backed by world-class investors in pursuit of an audacious multi-planetary scale vision.


What you'll do:

Build advanced GEOINT AI that'll turn Earth observation into Earth clairvoyance. Make it so advanced that it'll predict where you'll be tomorrow (Don't worry, we're not actually doing that... or are we?).
Create AI so smart it can play 4D chess with satellite constellations.
Lay the foundation for computers that will live in space.
Make orbital computing so efficient, that it'll make ground-based data centers look like abacuses.


Must-haves (Or be prepared to evolve rapidly):

PhD-level skills in computer vision and geospatial tech. No degree required but around 5+ years of experience (give or take) is.
Ideally shipped more cutting-edge space tech than NASA on a good decade but if not, at least shipped products that made people go "holy sh*t!".
The stamina to work 100-hour weeks.
The ability to write code faster than Neo in The Matrix.
An escape velocity mindset.


You probably are:

The smartest person in every room you've ever been in.
Irritated by how slow everyone else moves.
Convinced that "2001: A Space Odyssey" was actually a recruitment video.
The person who looks at impossible problems and says "Hold my coffee".
Ruthlessly proactive.
Ready to sacrifice everything for the chance to build the greatest multi-planetary scale project of your life.


Perks:

Chance to name a satellite (No, you can't call it 'HAL 9000', we all know how that went).
Your code will literally be in space. Beat that, GitHub Copilot.
Unlimited satellite imagery (legal disclaimer: for work purposes only).
A desk with a view of... well, everything on Earth.


The fine print:

Location: El Segundo, CA. Think of it as Low Earth Orbit with better weather.
Hours: Yes.


Bonus points if you already designed your own satellite in your spare time!


ITAR REQUIREMENTS:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. 

We do not sponsor visa unfortunately and will strictly only hire within ITAR restrictions: ITAR REQUIREMENTS:  To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. 

Location: El Segundo, CA. Think of it as Low Earth Orbit with better weather. Hours: Yes.

Full Stack Engineer in San Francisco. On-site. No visa sponsorship. Focus: AI/model engineering, full stack, customer obsession, production systems. Must build fast, ship daily, wear any hat. Startup mindset essential. Scrappy, detail-obsessed, clear communicator. Prioritize work growth. Build and lead 100x team. Experience with AI solutions required.

Abhimanyu Aditya

William Castillo

Harsharn A.

Most services businesses require large operations teams to manage intake, marketing, analytics, and back-office. We are engineering the self-managing business – an AI-powered command center that automates revenue generating functions. Today, our product powers autonomous lead generation, customer intake, and predictive analytics.We’re a small team of relentless builders, ex-founders, and immigrants, coming from top CS schools and tech companies. Our focus is creating resilient products capable of managing complex workflows deployed in high-stakes environments. As an engineer, you’ll tackle building production-grade AI systems across modalities that power entire business functions.Join us if you:<ul><li>Live to build (full stack, backend heavy)</li><li>Run through walls and win</li><li>Obsess over customers in each line of code</li><li>Lose sleep over the “almost perfect”</li><li>Learn fast and adapt even faster</li></ul>We are backed by some of the best investors in the world: Greylock, Founders Fund, Dylan Field (Figma), Alexandr Wang (Scale), Mike Volpi (ex-Index Ventures), and Elad Gil.

Netic AI

At Netic, we're building the autonomous business manager for those who keep America running. Our product puts multi-channel revenue generation on autopilot for large enterprises.You'll spend your days...<ul><li>Building products that automate entire business functions: Build and optimize software that support autonomous customer intake, predictive analytics, predictive marketing, and more—keeping performance and reliability top-of-mind.</li><li>Architecting scalable, modular AI systems: Effectively engineer resilient, scalable AI agents that function across modalities (voice, text, web) and integrate with downstream infrastructure. Our systems are deployed in some of the country's largest enterprises in their respective verticals.</li><li>Tackling our most challenging eng problems: Contribute high-impact code daily, serve as a technical expert, and dive deeply into our challenging engineering problems.</li><li>Mentorship &amp; Leadership: Provide guidance to other engineers through code reviews, pair programming, roadmap planning.</li></ul>This is an in-person role in San Francisco (Fort Mason), offering a highly collaborative environment where you’ll help shape the future of AI-driven business automation—and build “the plane” as we’re flying it at high speed.

Founding Engineer (Senior) / Head of Engineering

Role: Founding Engineer (Senior) or Head of Engineering Location: San Francisco. In the office, everyday.
What we’re looking for:
● Live to build. Full stack, 100x developer. IC first.
● Run through walls and win mindset. Work and growing through work is the most
important priority in your life at this time. You work hard to push your own limits.
● Experience in AI / model engineering. You can use and fine-tune foundational models to build great products. You can dig into the data and experiment with solutions.
● Ability to hire a 100x team. You ideally hired ambitious, hungry, hardworking builders before.
● Customer obsessed. Roll up sleeves to understand customer needs, be one of them. Thrilled to learn about the industries we work with in depth.
● Scrappy to get things done. Having a perfect codebase without customers means nothing.
● Willing to wear any hat when needed.
● Extremely straightforward and clear communication. Gives and handles given feedback
well.
● Obsessive over details. If something can be better, it should be.
● Thrilled to build systems in production used by many.
About Company:
We are a stealth company operationalizing AI for enterprises who keep America running. You will be joining a small and ambitious team with Stanford and Cornel CS grads and IOI medalists whose sole goal is to make frontier technologies for the real businesses and people. We are in production with customers.
Our pre-seed was led by the best founders and angels in Silicon Valley (Alexandr Wang, Zach Frankel, Kevin Hartz, Lachy Groom, and more).
The founder was previously the first GM, first Chief of Staff, and Director of Engineering at Scale and helped build Scale’s government and enterprise businesses from the ground up.

On-site in San Francisco (Fort Mason / Marina)

Looking for **senior backend engineer** with 3-4 years exp., **AI/model engineering** skills, data-driven, customer-obsessed. Must be a **100x developer**, thrive in fast-paced environment, adaptable, detail-oriented. San Francisco, CA. **On-site only**. No visa sponsorship. Salary $120k-$170k. Build frontier tech for enterprises.

John Jae Woo L.

Alexander Gaura

Marco Fleming

At Netic, we’re building the autonomous business manager for those who keep America running. Our product puts multi-channel revenue generation on autopilot for large enterprises.You’ll Spend Your Days…<ul><li>Building products that automate entire business functions: Build and optimize software that support autonomous customer intake, predictive analytics, predictive marketing, and more—keeping performance and reliability top-of-mind.</li><li>Architecting scalable, modular AI systems: Effectively engineer resilient, scalable AI agents that function across modalities (voice, text, web) and integrate with downstream infrastructure. Our systems are being deployed inside of some of the country's largest enterprises in their respective verticals.</li><li>Contributing High-Impact Code: Write clean, maintainable code in a fast-paced environment. Troubleshoot and resolve critical issues in real-time as they arise .</li></ul>This is an in-person role in San Francisco (Fort Mason), where you’ll join a highly collaborative environment, helping to shape the future of AI-driven business automation—and build “the plane” as we fly it at full speed.

Founding Engineer / Infra Engineer

Role: Founding Engineer
Location: San Francisco. In the office, everyday. What we’re looking for:
● Live to build. Full stack, 100x developer.
● Run through walls and win mindset. Work and growing through work is the most
important priority in your life at this time. You work hard to push your own limits.
● Experience in AI / model engineering. You can use and fine-tune foundational models to
build great products. You can dig into the data and experiment with solutions for
production products.
● Customer obsessed. Roll up sleeves to understand customer needs, be one of them.
● Scrappy to get things done. Having a perfect codebase without customers means
nothing.
● Willing to wear any hat when needed.
● Extremely straightforward and clear communication. Gives and handles given feedback
well.
● Obsessive over details. If something can be better, it should be.
● Thrilled to build systems in production used by many.
About Company:
We are a stealth company operationalizing AI for enterprises who keep America running. You will be joining a small and ambitious team with Stanford and Cornel CS grads and IOI medalists whose sole goal is to make frontier technologies for the real businesses and people. We are in production with customers.
Our pre-seed was led by the best founders and angels in Silicon Valley (Alexandr Wang, Zach Frankel, Kevin Hartz, Lachy Groom, and more).
The founder was previously the first GM, first Chief of Staff, and Director of Engineering at Scale and helped build Scale’s government and enterprise businesses from the ground up.


Founding Engineer needed in NYC (Flatiron). Must have strong product sense, high ownership, operate autonomously. Experience as founder/founding engineer, CS degree from top program, AI product building, hyperscaler/hypergrowth startup experience required. Work on-site, intense startup environment. No visa sponsorship. Salary $120K-$220K.

Navid Kamali

PointOne is building the AI tech stack for law firms, replacing rote admin tasks currently costing them $80B/yr. We are currently working with 50+ law firms and are growing rapidly.We're backed by world-class investors like YC, Bessemer, General Catalyst, 8VC, and others—including a few customers.

PointOne

PointOne is building the AI tech stack for law firms, replacing rote admin tasks—timekeeping, price prediction, business intelligence, etc.—currently costing them $80B/yr. We are currently working with 50+ law firms and are growing rapidly.The Founding Engineer will work with the founders to build a category-defining product, continue scaling it to massive enterprises, and become a leader in the organization.We’re looking for someone who is excited by this challenge and the impact we'll have if we do this right. We work every day, together, in person, because we understand that every minute counts in the early days of a startup. This is going to be intense early-stage startup work; the person we hire is expected to become a leader and help form the company’s vision and culture.We're backed by YC, Bessemer, General Catalyst, 8VC and we're based in NYC.

Senior Founding Engineer

About the role
What you’ll do

You will own and ship products.

You’ll talk to customers throughout the day over Slack/Teams, video and phone calls.
You’ll listen to their needs and develop a plan based on the highest priority items.
You’ll ship code to execute on the plan. We put new code into production multiple times per day.
We’ll do this every day, together, in person, because we understand that every minute counts in the early days of a startup. This is going to be intense early-stage startup work; the person we hire is expected to become a leader and help form the company’s vision and culture.

Our tech

We have a fully serverless backend built on top of AWS, consisting of a collection of Go microservices. We use React/Typescript to build client applications across web, desktop, and mobile. We create our own RAG pipelines.

Day in the life

As the founding engineer, every day you’ll need to build fast and well with a laser focus on customer impact. Here’s a typical day:

9:30 AM. Lead a call with a managing partner at a law firm (“KAJ Law”) that recently started using PointOne. They ask if our system integrates with Slack, but it does not. After the call, you draft a plan for the new feature—depending on the priority, you might target a same-day turnaround.
11:27 AM. As we’re working, we see that we’re running into a capacity issue causing a slowdown for some users. All hands on deck to figure out what’s going on and resolve the issue.
2:43 PM. Slack communication feature is complete. Deploy new code and email the team at KAJ Law to let them know about the new capability.
3:00 PM. Lead a new-customer onboarding call, taking note of the user’s reaction to the product.
5:45 PM. Team dinner. We chat about life, news, work, etc.
6:23 PM. With the big hurdles of the day overcome, time to go heads down to architect the intelligence layer on our new analytics product.
About the interview
Phone screen (15 min)
Technical screen (45 min)
Take-home challenge (3 hr)
On-site for working together and grabbing lunch (half-day)
About PointOne
PointOne is building the admin automation stack for the legal industry. Lawyers have to track and record all their time in 6 minute increments, then spend hours at the end of the month reviewing and editing client bills. Many lawyers describe this as the worst part of their job. Meanwhile, law firms are spending $70B/year on admin staff and legacy software to do things like data entry, filings, organizing documents, and more. We're using AI to automate these functions - starting with the thing lawyers hate most: timekeeping and billing.

We have promising early traction, including dozens of paying customers and design partnerships with enterprise law firms. We recently raised our $3.5M seed round from Bessemer, 8VC, General Catalyst, and other top investors. We're now looking to scale up our team with talented engineers to help take our product to the next level.

US-based full-stack founding engineers needed (React, NextJS) with VC-backed startup experience. Must build complex systems, own features end-to-end, strong product focus, and iterate with customers. Remote work, no visa sponsorship, $100k-$160k. Based in Bay Area, meet monthly. Strong English required. Passion for sales space a plus.

Samuel Evans

Aryan Khadiri

Centralize is the AI-powered, all-in-one deal workspace for enterprise sales teams. We've created automated stakeholder maps that help reps proactively multithread across departments, use conversation insights to say the right thing, and run pipeline reviews in minutes. We expedite the account planning process ahead of conversations to qualify deals in half the time and improve win rates by up to 56%.

Centralize

We're looking for our next US-based full-stack founding engineers (React, NextJS). You must have a strong product focus, design sense, excellent communication skills, and deep technical experience with complex LLM infrastructure. You'll scope and build critical features fast with an eye for scale, and support customers directly. You will help build the foundations of our LLM infrastructure &amp; scale our system to handle thousands of customers. Our founding team consists of product leaders &amp; principal engineers who launched Facebook Shops, Slack Huddles &amp; Modern Treasury Reconciliation.Preferred: senior IC experience, impressive product track record (either at a former company or self-guided projects), and GTM tooling familiarity. Bonus if you've joined or led a sales call, and are passionate about the sales space!

Founding Full-Stack Engineer (AI)

About Centralize
Centralize is building an AI-powered relationship intelligence platform for enterprise sellers. Customers ranging from Series A startups to unicorns use Centralize to automatically create account maps, accurately forecast engagement risk, and run sales deal reviews 36% faster.

Our founding team consists of product leaders & principal engineers who launched Facebook Shops, Slack Huddles & Modern Treasury Reconciliation.

We're proud to be backed by folks like Y Combinator, Salesforce Ventures, Cal Henderson (Co-Founder @ Slack), Noah Weiss (ex-CPO @ Slack), Joe Teplow (SVP, Salesforce Labs) and GTM executives at Box, Retool, Brex & Notion. Our advisors include revenue leaders @ Highspot, Dropbox, Truework & Front.

About the role
Skills: Next.js, React, PostgreSQL
The role
As a founding engineer, you’ll help build the core of Centralize’ product across the stack. You will…

Completely own features end-to-end & work directly with the founders to scope out the problem space.
Build high-quality, durable integrations with various software apps.
Make complex LLM pipelines work at near-perfect accuracy.
Iterate rapidly with customers to address their requests & help shape the engineering roadmap.
Build fast.
You’ll be successful in this role if you…
Have strong English communication skills in speaking & writing.
Are an expert in building complex frontend & backend systems (React, NextJS, background jobs, DB architecture, etc)
Can rapidly learn new technologies.
Are able to take undefined product thinking & independently scope + execute large features optimizing for speed with attention to scale.
Have a history of building large, impressive products either at a past company or on their own
Have an extremely high bar for quality and attention to detail.
Care a ton about user success and satisfaction.
Are kind, humble, and a great team player.
Bonus points if you’ve…
Previously worked in the GTM tooling space (sales, customer success, etc) or have familiarity with similar tools.
Previously been a founder or founding engineer.
Built something awesome on the side (send us the most impressive piece of software you’ve built!)
Super brownie points: Have experienced at least 1 sales call (sat in or ran one)
Technology
We run on a React & NextJS stack. We work on everything — product & design for beautiful UX, optimizing large frontend datasets, advanced RAG, minimizing hallucinations, and multi-source data ingestion.

Andrés Vargas

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

Biogenesis Tech, Inc., Palo Alto, CA. On-site. Visa sponsorship available. Looking for a Founding Engineer with CS degree from top-10 university. Must have expertise in React, Next.js, Express, MongoDB. 12h+ workdays and weekends as needed. High ownership in UI/UX, API design. Experience with high-bar companies or VC-backed startups essential. Salary: $60K-$200K.

Semih Gultekin

Laura Stevens

At Biogenesis, we are pioneering a transformative approach in clinical trials through the principles of decentralization, automation, and unparalleled speed. Our mission is to redefine this landscape, where innovative scientific endeavors are no longer hindered by logistical complexities or administrative burdens. We envision a future where drug development and clinical trials transcend traditional constraints, driven by our sophisticated, self-sufficient systems.Our ambition is to be the backbone of groundbreaking medical breakthroughs, including the quest for a cancer cure. By enabling scientists to devote their full attention to research and innovation, we aim to unlock new realms of possibilities in personalized medicine. Our model of Drug Research as a Service (DRaaS), underpinned by cutting-edge artificial intelligence and novel operational systems, is designed to streamline the entire drug development process. This revolutionary approach empowers even individual researchers to efficiently manage end-to-end trial operations, ushering in a new era of efficient, focused, and accelerated drug discovery.

Biogenesis

Biogenesis Tech, Inc. (Biogenesis) builds critical internal tooling for clinical trial operations, reducing what would be a $2B+ and 13+ year endeavour to a fraction of that time. This means more helpful therapies to patients, more dollars invested into research, and ultimately more lives saved.Our founding team is driven by this mission. With backgrounds from defense, biotech, and pharma - our team is building a modern, intuitive, and user-centric platform that will ultimately propel Biogenesis to become a premier tech-based pharma company in the years to come.We're looking for an Engineer to join our team.

Engineer

About Biogenesis
Biogenesis Tech, Inc. (Biogenesis) builds critical internal tooling for clinical trial operations, reducing what would be a $2B+ and 13+ year endeavour to a fraction of that time. This means more helpful therapies to patients, more dollars invested into research, and ultimately more lives saved.
Our founding team is driven by this mission. With backgrounds from defense, biotech, and pharma - our team is building a modern, intuitive, and user-centric platform that will ultimately propel Biogenesis to become a premier tech-based pharma company in the years to come.
We’re inviting you to join our mission, as a Founding Engineer.
ABOUT THE ROLE
The best way to learn about what your day could look like is to have an honest conversation with the team. We’d be interested in speaking to you if:
􏰀 Youaredetailorientedwhenbuildingscalable,secureandperformantwebapplications| 􏰀 Youtakeextremeownershipoverwhatyoudo,andholdyourselfandotherstoahighbar| 􏰀 Youfactorsecurity,architecture,andUI/UXthroughoutyourdevelopmentcycles.
SPECIFIC REspONSIBILITIES
􏰀 Developresponsive,performant,andwell-architectedwebapplicationsusingmodernfull-stack techniques, and take high ownership and autonomy in UI/UX design and implementation to craft flawless user experiences|
􏰀 ExpertiseinReact,TypeScript,HTML,andCSSformodernbrowsers.a
􏰀 Design,build,andmaintainAPIsthatreliablyandefficientlyhandlehighloads.Experiencewith relational databases, SQL and NoSQL database technologies|
􏰀 Contributetoarchitecture,design,andcodereviews,whileidentifyingandaddressingsecurity vulnerabilities. Empathize with end-users to balance user experience and engineering constraints, delivering comprehensive solutions.
Preferred qualifications
􏰀 Expertiseinbuildingscalablebackendswithmodernserver-sidelanguageslikeJavaScript, Golang, Ruby, or Rust. Professional experience with Linux systems and tools|
􏰀 ExperienceindevelopingHIPAA-compliantsystems|
􏰀 Proficientinprofiling,debugging,performanceoptimization,andtesting|
􏰀 Strongattentiontodetail,abletoworkindependentlyandinateam,takeinitiative,and communicate effectively.
Note that you must be willing to work extended hours and weekends as needed.

Founding Full-Stack Engineer in SF, on-site. Node.js (Typescript), React (Next.js), SQL databases. Build full-stack CRUD apps, UI design, cloud infra/security, REST APIs, web scraping. Must ship projects with strong UX focus. 1+ year experience, early-stage startup background preferred. No visa sponsorship.

Wen Chien Yen

Elie Svoll

We revolutionize dental practice management by streamlining the complex processes of insurance verification, claim submission, denial appeals, patient billing, and bookkeeping. In a $165 billion market, our innovative product helps dentists recover 10-20% of revenue typically lost to inefficiencies. By automating revenue cycle management, we enhance financial transparency and support small business owner dentists, ultimately making dental care more efficient, affordable, and understandable for patients.

DayDream

We are looking for a founding full-stack engineer to work alongside our co-founder and CTO. Responsibilities include:<ul><li>Build and maintain user facing interfaces for our customers and internal billing team</li><li>Own and iterate on product features alongside domain experts and customers who are using your tool everyday and rely on it to keep their business running</li><li>Help define product strategy and prioritization</li><li>Help shape engineering culture and ideally</li></ul>Here is a <a target="_blank" rel="noopener noreferrer" class="" href="https://www.loom.com/share/0babb5f1c3ce4f949abeed191bbdff78?sid=760a1a7b-7a53-4d52-8380-532633b9218d">Loom</a> with a bit more info about DayDream!

Founding Engineer

# About DayDream

We help dentists get paid for the work they do. In this $165B market, our product simplifies the complex process of verifying insurance coverage, submitting claims, appealing denials, billing patients, and maintaining clean books. As a result of how complex this process is and how many things get lost in the process, dentists can lose 10-20% of their revenue!

What this leads to is the things patients hate about the American healthcare system: it’s **inefficient, unaffordable, and just too d*mn confusing**. We work with a lot of dentists and they don’t love it either. Dentists want to treat you, help you, and see you smile. 

We believe that by automating parts of revenue cycle management, we increase financial transparency for everyone involved - patients, providers, and help support small business owner dentists across America. 

# The Role

We are looking for a founding full-stack engineer to work alongside our co-founder and CTO. Responsibilities include:

- Build and maintain user facing interfaces for our customers and internal billing team
- Own and iterate on product features alongside domain experts and customers who are using your tool everyday and rely on it to keep their business running
- Help define product strategy and prioritization
- Help shape engineering culture and ideally

## Traction: Our First 6 Months

- We process over $3M in insurance claims every month
- Currently over $100k MRR ($1.2M run rate) and on track to double MRR in the next few months
- Serve over 50 dental practice locations across America
- Raised $2.5M from Nat Friedman and Daniel Gross through [AI Grant](https://aigrant.com/)
    - [Nat Friedman](https://en.wikipedia.org/wiki/Nat_Friedman): former CEO of GitHub, helped launch GitHub CoPilot. Investor in companies like: Figma, Stripe, Retool, Scale AI, Vercel, Perplexity, Streamlit, and more
    - [Daniel Gross](https://en.wikipedia.org/wiki/Daniel_Gross_(entrepreneur)): youngest partner at YCombinator, Times 100 Most Influential People in AI. Investor in companies like: Instacart, Coinbase, Airtable, Rippling, Notion, [Character.ai](http://Character.ai)

## Requirements:

- Full Stack engineer
- Experience with Node.js (Typescript), React (Next.js), and Postgres or other SQL databases.
- Experience making full-stack CRUD web apps
- Bonus: Experience in UI Design, cloud infra, cloud security, Web scraping, and REST API development.
- In-person in San Francisco

## Compensation: $125K-200K, 1-3% equity.

## Signs you are a good fit

- Shipped full end-to-end products on your own that generated revenue
- Part of an early engineering team at a startup
- Ran a startup as the core technical contributor previously or considering starting your own

## Team

- Anton Lin, Co-Founder, CTO:
    - Formerly co-founded Scout, scaled to $1M ARR before an exit to StockX
    - Built and grew several sneaker reseller bots to six figures in revenue
    - UC Berkeley dropout (3 weeks!)
- Shreyas Parab, Co-Founder, CEO:
    - Formerly first employee at YC W23 startup, Special projects for billionaire Dan Gilbert
    - Started and grew D2C brand to $75k in annual sales, started/sold ed-tech company, Senior Class President at Stanford, student representative on the Board of Trustees
    - Stanford Biomedical Computation

**Founding Engineer (Applied AI)** in NYC, hybrid work. Master Python, web frameworks (Next.js, FastAPI). Strong AI/ML, backend skills. Proven product ideation, deployment. Communicate complex tech to non-tech clients. Database tech savvy. Startup experience, biotech interest. Visa sponsorship available. Salary: $160K-$240K.

We're building AI tools that empower drug developers to eliminate disease within our lifetimes. Our secure AI assistant streamlines pharmaceutical workflows by connecting external scientific knowledge to company data and documents.

Scale Medicine

Scale Medicine is building the intelligence layer for drug development. Our secure AI assistant streamlines drug development workflows by connecting external scientific knowledge to company data and documents. We believe this technology could increase the rate of breakthrough drugs tenfold.As our Founding Engineer (Applied AI), you will own the core AI capabilities and application logic of our flagship product. This role is perfect for those who aspire to be future founders of AI and biotech companies.

Founding Engineer (Applied AI)

Scale Medicine is building the intelligence layer for drug development. Our secure AI assistant streamlines drug development workflows by connecting external scientific knowledge to company data and documents. We believe this technology could increase the rate of breakthrough drugs tenfold.

Why Join Scale Medicine?
Impactful Work: Partner with the biggest biopharma companies in the world on new life-saving medicines.

Stellar Investors: We’re supported by top-tier investors who have backed leaders like Hugging Face, Anduril, Eikon, and Recursion.

Competitive Compensation: We offer top-of-market cash and equity compensation to attract and retain the best talent.

Growth Opportunities: As a founding engineer, you’ll hone your skills on the most challenging problems in applied AI. You'll take on leadership roles and shape the future of AI for the benefit of humanity.

The Role: Founding AI Engineer
You will own the core AI capabilities and application logic of our flagship product. This role is perfect for those who aspire to be future founders of AI and biotech companies.

Core Responsibilities
Product Iteration: Create AI systems that balance state-of-the-art results with rapid deployment. Work closely with the Product team.

Massive-Scale Data Processing: Architect solutions to handle multimodal data sources crucial for our products.

Evaluation and Optimization: Build data-driven evaluation systems to continuously improve product performance.

What We Value
Invention: Ability to come up with new product solutions that push the frontier of scientific intelligence.

Rapid Execution: Quickly iterate on prototypes, turning ideas into functional systems.

First-Principles Problem Solving: Break down complex problems and develop novel solutions.

Qualifications
Entrepreneurial Mindset
Strong desire to build something from the ground up.

Exceptional problem-solving skills. Learn new technologies quickly.

Work autonomously and drive projects forward.

Core Qualifications
Strong software engineering skills with experience in AI/ML, especially building and deploying production-ready systems.

Demonstrated ability to iterate and ship features in a fast-paced environment.

Proven track record of coming up with product ideas and seeing them through to implementation.

Outstanding communication skills. Can convey complex technical concepts to non-technical customers.

Technical Skills
Proficiency in Python and experience with modern web development frameworks (e.g., Next.js, FastAPI).

Familiarity with database technologies, including relational, vector, and NoSQL databases.

Experience working with large language models and other AI/ML technologies.

Understanding of data processing pipelines and ETL processes.

Bonus
Prior startup experience, especially in early-stage environments.

Background or strong interest in biotechnology or biology (not required).

Experience with product design and user experience (UX) principles.

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Overview<a target="_blank" rel="noopener noreferrer" href="https://www.getsphere.com/">Sphere</a> is on a mission to build the world’s first AI-powered cross-border compliance platform, starting with sales tax, VAT, and GST.We currently help global companies like Runway AI, Weaviate, Zeplin and many more remain in compliance with their indirect tax requirements, wherever their customers are around the world. Our product specifically helps with nexus monitoring, registration, real-time tax calculation, filing, and remittance. At the core of our platform is the world’s first tax-focused LLM trained on local and global tax legislation and tax rate data. This AI-powered tax engine will allow us to expand rapidly across geographies, product categories, and other compliance areas to help all businesses go global from day 1.Why this is a massive opportunity🌍 The market is enormous: This is a ‘need to have’ solution for every business around the world once they hit a certain stage. It’s becoming increasingly hard to ignore (see below) and if businesses don’t collect and remit indirect tax, they end up paying for it out of pocket later.🌬️ Strong macro tailwinds: Businesses are going global earlier and earlier and they’re not equipped to deal with cross border compliance. Additionally, tax authorities are clamping down on cross border tax compliance which means demand for this solution will continue to grow (e.g. EU forcing payment processors to hand over tax evaders from April 1, 2024).✨ AI can change the game - a lot of processes related to tax compliance / research have been extremely manual and cumbersome to date. That’s why incumbents like Avalara, Vertex (and newer players like Anrok) haven’t been able to move outside the US. We think LLMs can change that.🔮 Product vision: We believe that tax-focused LLMs will be the foundation of a broader cross border compliance platform that help businesses go global from day 1. We want to be the Deel for international billing.

Sphere

Currently our product helps companies:

- Monitor where they are exposed from a tax perspective around the world
- Register with the right tax authorities 
- Calculate and collect tax in real time at the point of transaction (either at checkout or invoices)
- File the right tax returns on a periodic basis
- Remit tax payments due when filings are submitted

At Sphere, we're building the world's first tax-focused LLMs (which we believe will be the foundation for a broader cross border compliance platform; think Deel for international billing). We're growing rapidly (20%+ WoW revenue growth) and have signed customers like Runway AI, Weaviate, Zeplin, Sierra AI, Codeium, Ideogram + many more. We're also well-funded by Felicis Ventures and the founders of Flexport, Lyft, Betterup, Go1 and Xendit.We're now looking for a Founding Engineer to join our team in SF!More details here: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.ycombinator.com/companies/sphere/jobs/xTRG66Y-founding-engineer-applied-ai">https://www.ycombinator.com/companies/sphere/jobs/xTRG66Y-founding-engineer-applied-ai</a>

Founding Engineer, Applied AI

About the job
We’re looking for a founding engineer at Sphere to help build the world’s first tax-focused LLM!

About Sphere

Sphere helps US software companies manage their global sales tax / VAT / GST compliance requirements.

Companies like Runway AI choose our platform because we’re the only product that offers true global coverage, is easy to implement and reasonably priced.

We're growing rapidly (20%+ WoW revenue growth) and have signed customers like Runway AI, Weaviate, Zeplin, Sierra AI, Codeium, Ideogram + many more
We're building the world's first tax-focused LLMs (which we believe will be the foundation for a broader cross border compliance platform; think Deel for international billing)
We're well funded by Felicis Ventures and the founders of Flexport, Lyft, Betterup, Go1 and Xendit

Why this is a massive opportunity

🌍 The market is enormous: This is a ‘need to have’ solution for every business around the world once they hit a certain stage. It’s becoming increasingly hard to ignore (see below) and if businesses don’t collect and remit indirect tax, they end up paying for it out of pocket later.

🌬️ Strong macro tailwinds: Businesses are going global earlier and earlier and they’re not equipped to deal with cross border compliance. Additionally, tax authorities are clamping down on cross border tax compliance which means demand for this solution will continue to grow (e.g. EU forcing payment processors to hand over tax evaders from April 1, 2024).

✨ AI can change the game - a lot of processes related to tax compliance / research have been extremely manual and cumbersome to date. That’s why incumbents like Avalara, Vertex (and newer players like Anrok) haven’t been able to move outside the US. We think LLMs can change that.

🔮 Product vision: We believe that tax-focused LLMs will be the foundation of a broader cross border compliance platform that help businesses go global from day 1. We want to be the Deel for international billing.

Within Days

What you will do

Work with our CEO and leading tax experts to apply cutting edge LLM capabilities to manual tax research processes. You’ll have the flexibility and resources to use whichever AI approaches you think are effective (RAG, fine-tuning, etc).
Build solutions to identify authoritative sources of tax legislation and tax rate data across the web to feed our tax-focused AI systems
Work directly with customers to solve their pain points. We need someone who has high empathy and is excited to work with tax experts and finance teams to solve cross border compliance issues

Within Months

Architect an AI-powered system that collects, monitors and processes tax rate data from around the world
Train a tax-focused LLM on global tax legislation and build the infrastructure to have it monitor any changes to legislation in real time
Expand LLM focus to include legislation in adjacent compliance areas including withholding tax, e-invoicing and more

What We Are Looking For

A founding engineer with:

Strong full stack expertise (Django/Python, Nextjs/React) and an interest in LLMs (prior AI experience not strictly necessary)
Early stage experience - a desire to own something from the early stages and grind
Ideally some background in the fintech or compliance realm
A desire to work in person in our office in SF

Can sponsor transfers (will not sponsor new visa applications)

In-person in San Francisco, office is located 156 2nd Street, SF (right next to Salesforce Tower)

Senior Full-Stack Engineer in NYC. Must master React, Node/Express, MongoDB. Handle module bundlers, animation libraries. Work on-site, no visa sponsorship. Collaborate with founders, focus on UI/UX, API integrations. Experience with YC startups, open-source contributions ideal. Salary $140K-$200K.

Mohith Manohar

At Coast, we make APIs visual, enabling companies to create instant and bespoke previews of a true integration for customers. Instead of showing prospects API documentation, customer-facing teams can now demo exactly what their API can do for any given prospect. Sales, marketing and solutions teams use Coast to collapse sales cycles, build pipeline, and offer bespoke solution journeys.We’re trusted by some of the world’s most innovative companies: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.twilio.com/en-us">Twilio</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://plaid.com/">Plaid</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.fisglobal.com/">FIS</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.zurich.com/">Zurich Insurance</a>, etc., and we’re backed by firms and operators like <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.ycombinator.com/">Y Combinator</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://en.wikipedia.org/wiki/Arash_Ferdowsi">Arash Ferdowsi</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://calv.info/about">Calvin French-Owen</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://amasad.me/about">Amjad Masad</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.liquid2.vc/">Liquid2</a> and more.In 2023 we grew 11x, and in our first year in market signed public and growth stage companies across a number of industries: fintech, healthtech, insurance, unified APIs, transportation, communication and more.

Coast

We’re looking for an experienced senior full-stack software engineer to join us as we build the backbone of technical sales. In this role, you’ll contribute to the entire tech stack, and will need the ability to think critically about product, design, and our customers’ goals.By keeping a lean team, we’ve been able to move fast and want to keep it that way with high performers that take pride in their work. The role reports directly to our Founders and will work alongside our team in-person in our NYC office.

Senior Software Engineer

About the role
About the role
We’re looking for an experienced full-stack product engineer to join us as we build the backbone of technical sales. In this role, you’ll contribute to the entire tech stack, and will need the ability to think critically about product, design, and our customers’ goals.

By keeping a lean team, we’ve been able to move fast and want to keep it that way with high performers that take pride in their work. The role reports directly to our Founders and will work alongside our team in-person in our NYC office.

About you
You love to design, build, and work hard. You’re excited to roll up your sleeves, build something you’re proud of and take ownership.
You are / are excited to become an expert on API-first companies and the best way to showcase their products (bonus: experience working at an API company)
You’re low ego, honest and kind.
You love builder and design tools and enabling technical sellers.
Have experience in React, JS for at least 3 years professionally (React Native, Expo bonus)
Have design experience, strong design thinking skills - a lot of our platform is visual so bring skills and understanding on graphic design (layout, typography, color, etc)
Understanding of modern web technologies
You will
Obsess over the UI/UX for onboarding, building experience (API integrations) and beyond
Collaborate directly with founders on roadmap and prioritization
Architect and develop across our stack
Go the extra mile working on the user experience
Tech stack
Web: React, RN for Web

Backend: Node.js, Express, MongoDB

Requirements
Located in New York and able to work in office
3+ years of engineering experience (React, JavaScript)
Basic understanding of UX/UI principles
Exceptionally fast learner, thriving in a fast-paced environment
Frontend Excellence - you should be able to build any UI or experience
Interview Process
Intro call
Product Deep Dive
Platform Access / Take home activity
Technical Interview
Meet in person
Reference calls
About Coast
At Coast, we make APIs visual, enabling companies to create instant and bespoke previews of a true integration for customers. Instead of showing prospects API documentation, customer-facing teams can now demo exactly what their API can do for any given prospect. Sales, marketing and solutions teams use Coast to collapse sales cycles, build pipeline, and offer bespoke solution journeys.

We’re trusted by some of the world’s most innovative companies: Twilio, Plaid, FIS, Zurich Insurance, etc., and we’re backed by firms and operators like Y Combinator, Arash Ferdowsi, Calvin French-Owen, Amjad Masad, Liquid2 and more.

In 2023 we grew 11x, and in our first year in market signed public and growth stage companies across a number of industries: fintech, healthtech, insurance, unified APIs, transportation, communication and more.

**Location**: San Francisco, CA. **Work Type**: On-site. **Visa**: US Citizen only, no sponsorship. **Salary**: $100k. **Requirements**: Bachelors/Masters in ME/EE/CS, self-directed projects, experience with electronics, laser systems, optics. **Responsibilities**: Design/simulate laser systems, retrofit for max power, develop support systems. **Ideal Background**: Worked at Elon/Luckey/Thiel companies, startup experience.

The US and our allies have prepared for a world where we will be fighting increasingly large and sophisticated systems (Planes, Aircraft carriers, etc), but this world never came. The future of warfare will involve large numbers of small-scale and mass-manufacturable drones, and we aren’t prepared to defend our country from these threats abroad or domestically. Aurelius Systems has set out to address this problem by equipping the US and our allies with the systems they need to fight current and future conflicts in a scalable and cost-effective manner.

Aurelius Systems

We are building out the first team at Aurelius, and need engineers to help develop our first product MVP. Yes, you will be building a laser gun.This opening is for a Laser engineer with experience in EECS, optics, photonics, laser system development and/or robotics. This person will be simulating and designing new laser systems, retrofitting existing systems to maximize power down-range. This person will be familiar with laser physics in at least a basic capacity and be ready to do laser work that no one has done before. You will be modifying systems that output 10kW+.This is a generalist engineering role that will require self-direction and adaptability. We do hire for technical skills, but are huge believers in the power of learning quickly. If you’re passionate about our mission, please apply even if you’re not the perfect cookie-cutter-candidate

Founding Laser Engineer

About the job
What is Aurelius Systems?

Aurelius Systems is a directed energy company developing edge-deployed laser systems for cUAS applications


We shoot down drones with laser guns


Why?

The US and our allies have prepared for a world where we will be fighting increasingly large and sophisticated systems (Planes, Aircraft carriers, etc), but this world never came. The future of warfare will involve large numbers of small-scale and mass-manufacturable drones, and we aren’t prepared to defend our country from these threats abroad or domestically. Aurelius Systems has set out to address this problem by equipping the US and our allies with the systems they need to fight current and future conflicts in a scalable and cost-effective manner. 



Our Status

We are an early stage startup that’s recently closed our first capital raise, and are actively expanding the team to develop our first product - an AI laser sentinel. Please apply if you love this country and think our servicemen, servicewomen and domestic police deserve new technologies to address the dangers that drone warfare brings.


Job Description

We are building out the first team at Aurelius, and are looking for 2-4 engineers to help develop our first product MVP. Yes, you will be building a laser gun. 



This opening is for an optics engineer with experience in EECS, optics, photonics, laser system development and/or robotics. This person will be simulating and designing new laser systems, retrofitting existing systems to maximize power down-range. This person will be familiar with laser physics in at least a basic capacity and be ready to do laser work that no one has done before. There will be opportunities to publish in this position as well.


This is a generalist engineering role that will require self-direction and adaptability. We do hire for technical skills, but are huge believers in the power of learning quickly. If you’re passionate about our mission, please apply even if you’re not the perfect cookie-cutter-candidate


Qualifications

hyper-engineer
Evidence of self-directed mechanical and electrical projects
Experience working with a variety of electronics, including laser systems, optics, gratings, industrial laser lab techniques.
US Citizen


Preferred Qualifications

Bachelors or Masters degree in Mechanical Engineering, Electrical Engineering, Computer Science or related
Developed self-directed projects regularly


Compensation

Base compensation for this role is between $90,000 to $100,000 with additional equity compensation


https://forms.gle/qETCjUbsQtWc1Cge8 - Please fill out this form!


Please reach out to contact@aureliussystems.us with your resume, socials, personal site, and a blurb about who you are and the most impressive engineering achievement you’ve made.

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