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Member of Technical Staff (Models)

Jarmin· Engineering
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Hybrid (San Francisco, CA)$200k - $300kFull-timePosted 2mo ago

About the role

Role focused on owning the post-training loop to improve AI Employees' performance, including defining how to train models for mission-critical real-world work.

Responsibilities

  • Post-training and fine-tuning
  • Turning agent traces and expert feedback into training data
  • Reward modeling and graders for non-verifiable outcomes
  • Distillation into smaller, faster, cheaper models
  • Designing and running training experiments

Qualifications

  • Have trained or fine-tuned models and shipped the result into a product
  • Hands-on experience with SFT, preference optimization, or RLHF
  • Ability to read traces and determine if a metric measures the intended outcome
  • Strong software engineering fundamentals alongside ML depth
  • Willingness to work in person in San Francisco

Skills

Required:Machine Learning
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Jarmin

24/7 Machine Learning Engineer employees

Jarmin.ai is your 24/7 ML eng employee that you hire. Just talk to Jarmin like any other employee and Jarmin handles your AI/ML work from there. Completely hand over full initiatives or individual tasks. Jarmin’s founding team is from Meta SuperIntelligence Labs (Staff Engineers), Apple (Machine Learning Engineer), AWS (scaling infra), Lockheed-Martin (Research), and JPMorganChase (SWE) with experience building AI/ML and automating complex work of Researchers, Data Scientists, ML Engineers with AI.

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