[ research ]
Research, Evals
Exa- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Exa. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
ML Evals Engineer at Exa, an applied AI lab building a search engine. This role involves designing and building the company's eval stack to measure search engine performance in an LLM world, influencing research direction and company strategy.
Skills and focus areas
- machine learning
- model training
- model finetuning
- model evaluation
- embeddings
- llms
- engineering fundamentals
- reliable systems
- python
- rust
- distributed pipelines
- gpu
Summary written by Ramai from the original posting. Full details and requirements are on Exa’s careers page.
[ More at Exa ]
Web search rebuilt for LLMs
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