Drimva

General Analysis

Research Engineer, Post-Training

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

About the job

Post-train models for adversarial capabilities using reinforcement learning, building the training pipeline from data generation and environment design through evaluation.

What you'll do

  • Build and operate training pipelines, including data generation, environment design, and evaluations.
  • Address distributed-systems challenges and develop methods for data-constrained, low-signal-to-noise settings.
  • Improve algorithms for applying trained models to adversarial simulations.

What they ask for

  • Comfort with PyTorch, RL infrastructure, post-training infrastructure, or tools such as Tinker and verl.
  • Academic and/or industry experience with reinforcement learning or machine learning research, or eagerness to learn.

Nice to have

  • Publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or similar.
  • Security experience, or enthusiasm for building it.

Tools

PyTorch, Tinker, verl

AI focus

Uses reinforcement learning to post-train models for adversarial capabilities and simulations, with work spanning training infrastructure and evaluation.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)