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Member of Technical Staff (Models)

JarminMechanical
Pay
$200K–$300K
per year
Work mode
On-site
Full Time
Experience
3+ yrs
Mid

San Francisco, CA at a glance

Rent
#2 of 51
$2,680/mo+46% vs US avg
Weather
#17 of 51
295 mild days0 hot · 0 cold
Income tax
#1 of 51
13.3% top rateCalifornia

What you need

Machine Learning

As a Member of Technical Staff on Models, you'll own the post-training loop that improves the performance of our AI Employees. You will be defining how we train models to do mission critical work in the real world.

Areas you may work in:

  • 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

You may be a good fit if you:

  • Have trained or fine-tuned models and shipped the result into a product
  • Have hands-on experience with SFT, preference optimization, or RLHF
  • Can read traces and tell whether a metric measures the thing that matters
  • Have strong software engineering fundamentals alongside ML depth
  • Want to work in person in San Francisco

Even better:

  • You've adapted open-weight models to a specialized domain
  • You've built training data or evaluation infrastructure
  • You contribute to open source projects

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About Jarmin

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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