Join Exa as a Research Engineer to enhance search and retrieval systems in a cutting-edge AI lab.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We build massive-scale ML systems that will define the way the new AI world consumes information.
Requirements
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
In the role of Research Engineer at Exa, the individual will engage in hands-on work across the search and retrieval stack, focusing on enhancing the performance of crawling, parsing, and machine learning algorithms. Key skills include a strong grasp of system implementation and a keen attention to detail, as well as the ability to quickly adapt and innovate within various systems. This position is ideal for generalists with a passion for improving information retrieval and a desire to contribute to cutting-edge AI technologies. Exa's ambitious goal of redefining search capabilities sets a dynamic backdrop for this impactful role.
Joblaze insights
Quick facts
From the original posting
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.
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
Design and ship a new parser that dramatically improves retrieval performance
Improve throughput and latency of ML models
Make our web crawler 3x faster
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.