Research, ML

Exa • San Francisco, CA

1d • Onsite

About The Position

Exa is building a search engine from scratch to serve every AI application. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high performant vector databases in Rust to search over it. We also own a $5M H200 GPU cluster that regularly lights up tens of thousands of machines. On the ML team, 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.

Requirements

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed