- Location
- San Francisco, California, United States
- Employment
- Full time
- Posted
- 14 months ago
About this role
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you.
Research at Exa
The ML organization sits at the heart of our mission. We train 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. Basically, put the web into an extremely powerful database.
We're looking for an ML Research Engineer to train embedding models for perfect search over the web. The role involves dreaming up novel transformer-based search architectures, creating datasets, creating evals, beating our internal SoTA, and repeat.
Desired Experience
You have graduate-level ML experience (or are an exceptionally strong undergrad)
You can code up a transformer from scratch in PyTorch
You like creating large-scale datasets and diving deeply into the data
You care about the problem of finding high quality knowledge and recognize how important this is for the world
Example Projects
Pre-training: Train a hundred billion parameter model
Fine-tuning: Build an RLAIF pipeline for search
Dream up a novel architecture for search in the shower, then code it up and beat our best model's top score
Build an eval system that answers: How do we know we're advancing our search quality? (this is an incredibly difficult question to answer)
Logistics
Location: This is an in-person opportunity in San Francisco.
Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.
Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.
Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.
As published by Exa. Applications are handled on their site.
Skills this posting mentions
About Exa
Exa is an applied AI research lab organizing human knowledge, starting with the web. Exa Search is the highest quality search API at every latency. It accepts natural language queries and produces token-efficient results with citations. Exa Agent is a high-compute web agent that synthesizes information from across the web to handle the most complex deep research, list-building, and enrichment workflows. These products power Cursor, Cognition, Hubspot, OpenRouter, Monday.com, and agents built by over 400,000 developers. We are a worldwide team of engineers and researchers. We're hiring: exa.ai/careers
All 44 openings at ExaOne click, then it is written
Apply to Exa with a resume written for this role.
Queue Research, ML and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Exa’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Exa publishes. Refolk is not the employer and does not handle their hiring. Applications go to Exa directly.