Research Engineer, Generalist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Research Engineer, Generalist San Francisco, California | OnSite 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

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