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Founding ML Research Engineer

On-site
CleraSan Francisco, CA, US4 hours agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

Join the founding team at a Y Combinator-backed AI assistant startup to build the models and systems behind a useful, reliable AI agent. You will lead hands-on research and engineering that improves answer quality while managing latency, cost, and safety, and ship improvements to users regularly.

What You'll Do

  • Build evaluation harnesses using model judges, human preference data, and regression tests to guide release decisions.

  • Post-train models through supervised fine-tuning, preference tuning, and distillation, then ship the results to production.

  • Develop model routing that balances answer quality, latency, and cost across smaller and frontier models.

  • Improve agent performance on websites without APIs, including navigation, sign-in, and checkout, with appropriate escalation when needed.

  • Identify and address prompt injection, data leakage, and other risks through adversarial testing and evaluations.

  • Advance memory, retrieval, tool selection, and decisions about when the agent should act or ask for help.

  • Review real conversations and turn findings into evaluation and model improvements.

What We're Looking For

  • At least 4 years of ML or software engineering experience at an AI lab, AI product company, or similar organization.

  • Hands-on experience fine-tuning or post-training LLMs and deploying the results to production.

  • Experience designing evaluations that teams have used to make product release decisions.

  • Background in at least one area: LLM red teaming, browser or computer-use agents, model routing, or production agents with tools and persistent memory.

  • Strong Python skills and experience with ML training and evaluation tools, plus TypeScript experience in a product codebase.

  • A hands-on, founding-team approach, with interest in setting technical direction and helping grow the team.

Compensation & Benefits

Salary range: $200,000 to $300,000 USD annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.

Stack

LLMsPythonTypeScriptMachine LearningFine-tuning
Posted
Oct 15, 2026
Last seen
Oct 15, 2026
First seen
Oct 15, 2026

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