E
Exa
Machine Learning Research Engineer
Skills
PyTorchMachine Learning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$180,000 – $350,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
22 August 2026
What they need
- The ML organization sits at the heart of our mission. 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
- 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 model’s top score
- Build an eval system that answers: How do we know we’re advancing our search quality? (this is an incredibly difficult question to answer)- You like creating large-scale datasets and diving deeply into the data
- You can code up a transformer from scratch in PyTorch
- You have graduate-level ML experience (Master’s degree or PhD with at least 2 years of relevant experience, or are an exceptionally strong undergrad)
- You care about the problem of finding high quality knowledge and recognize how important this is for the world
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