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Founding ML Research Engineer

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Founding ML Research Engineer in USA new

  • San Francisco, CA

Responsibilities

  • 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 deploy them to production.
  • Develop model routing across smaller and frontier models to balance answer quality, latency, and cost.
  • Improve agent performance on websites without APIs, including navigation, sign-in, checkout, and escalation decisions.
  • Identify and address prompt injection, data leakage, and other risks through adversarial testing and evaluations.
  • Advance agent memory, retrieval, tool selection, and decisions about when the agent should act or ask for help.
  • Review real conversations and convert findings into evaluation and model improvements.
  • Help set technical direction and grow the team as part of the founding team.

Requirements

  • 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 used by teams to make product release decisions.
  • Background in at least one of 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.
  • TypeScript experience in a product codebase.
  • A hands-on founding-team approach and interest in setting technical direction and helping grow the team.

Benefits

  • Salary range of $200,000 to $300,000 USD annually.
  • On-site role in San Francisco, California.
  • Visa sponsorship is not available.

Salary: $200k - $300k/yr

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