Research Engineer, Generalist
At a glance
Mid-level AI Research role at Exa. San Francisco · full-time · $180,000–$350,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build parsers that improve how well search results match retrieval needs
- Raise machine-learning model throughput and reduce latency
- Speed up the web crawler while working across crawling, parsing and retrieval systems
- Improve the quality of search endpoints for customers across the retrieval stack
What you bring
- You can balance close attention to implementation details with an understanding of customer needs
- You’re keen to explore different parts of the search stack, from crawling and parsing to retrieval algorithms
- You’re comfortable moving between systems and shipping work quickly
Who this fits
This role suits a generalist research engineer who wants to work across search and retrieval, from crawling to machine-learning performance. It is an in-person position in San Francisco. Visa sponsorship is available for international candidates, though approval is not guaranteed.
From the employer
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.
Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality of search endpoints for customers.
Who You Are
High attention to detail; simultaneously understand customer needs and implementation details of the system
Great intellectual horsepower - generalists who are eager to go deep
You're excited to work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms and more
Comfortable working across different systems, and shipping fast
You care about the problem of finding high quality information and recognize how important this is for the world
What You Could Do
Design and ship a new parser that dramatically improves retrieval performance
Improve throughput and latency of ML models
Make our web crawler 3x faster
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.