Drimva

Belvedir

Member of Technical Staff, Training

San Francisco, CA · Staff · Full-time · Posted Oct 29, 2026

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About the job

Designs and runs customer-specific model-training experiments, builds data and evaluation pipelines, and turns successful training work into reusable recipes and tools.

What you'll do

  • Run SFT, distillation, preference-tuning, and RL experiments on customer tasks.
  • Build pipelines for collecting, cleaning, filtering, and synthesizing training data, plus task-specific evaluations.
  • Work with customers and founders to choose training priorities and develop repeatable training recipes and tooling.

What they ask for

  • Experience with LLM training, including post-training, RL, RLHF, evaluations, or synthetic data, in industry or research.
  • Experience training or fine-tuning models on real, messy data.
  • Knowledge of trustworthy evaluations and how models can exploit flawed evaluations.
  • Ability to work directly with customers and translate their needs into training priorities.

Nice to have

  • Founder or early-engineer experience.

Tools

LLM, SFT, RL, RLHF

AI focus

Model training and post-training, reinforcement learning, synthetic data, evaluation, and training-data pipeline development.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)