Research, ML

San Francisco, United StatesOn-site

Requirements

Exa is an applied AI lab building a search engine unlike the world has ever seen.
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're looking for an ML Research Engineer to train embedding models for perfect search over the web.
EXPERIENCE - You have graduate-level ML

We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
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.

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.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google.
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.
The role involves dreaming up novel transformer-based search architectures, creating datasets, creating evals, beating our internal SoTA, and repeat. DESIRED
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
(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).