Overview
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
Full job description
Full Job Description
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
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Build and improve foundational models across training, reinforcement learning, and model architecture.
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Develop and ship production LLM applications, including agents, retrieval-augmented generation pipelines, or model-serving systems.
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Create evaluations, benchmarks, and quality monitoring for LLM systems.
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Contribute as a hands-on individual engineer across model development and application work.
What We're Looking For
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One to five years of professional engineering experience.
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Practical experience building foundational models across the model-building pipeline, including training, reinforcement learning, and architecture.
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A track record of building and shipping production LLM applications.
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Strong Python skills and hands-on experience with an ML framework such as PyTorch.
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Experience evaluating LLM systems through evaluations, benchmarks, or quality monitoring.
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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.
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