ABOUT THE ROLE Join the founding engineering team at an early-stage AI company developing a foundational model from scratch with a novel architecture, rather than fine-tuning existing models. This hands-on role contributes to core model development as well as practical, production-ready LLM systems. WHAT YOU'LL DO - Build and improve foundational models across training, reinforcement learning, and model architecture. - Develop and ship production LLM applications, including agents, retrieval-augmented generation pipelines, or model-serving systems. - Create evaluations, benchmarks, and quality monitoring for LLM systems. - Contribute as a hands-on individual engineer across model development and application work.
WHAT WE'RE LOOKING FOR - One to five years of professional engineering experience. - Practical experience building foundational models across the model-building pipeline, including training, reinforcement learning, and architecture. - A track record of building and shipping production LLM applications. - Strong Python skills and hands-on experience with an ML framework such as PyTorch. - Experience evaluating LLM systems through evaluations, benchmarks, or quality monitoring. - Interest in a ground-level individual contributor role.
COMPENSATION & BENEFITS Base salary range: $180,000 to $220,000 USD annually. LOCATION On-site in San Francisco, California. Candidates should be based in the San Francisco Bay Area or willing to work on-site in San Francisco.
Job description provided by Clera.
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