Machine Learning Engineer - Post Training Job at EPM Scientific, San Francisco County, CA

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  • EPM Scientific
  • San Francisco County, CA

Job Description

Machine Learning Engineer - Post Training

A stealth-stage venture backed by Lux Capital (investors in DeepMind and OpenAI) is developing frontier-scale AI systems for high-impact applications in human health and decision-making. The team is applying LLMs and multimodal agents to complex real-world problems where precision, safety, and interpretability matter.

This role focuses on post-training workflows for large models, including RLHF, reward modeling, and evaluation. Ideal candidates have experience aligning agent behavior with nuanced goals in high-stakes environments. The position involves close collaboration with research and product teams to define evaluation criteria, build scalable RL pipelines, and ship production-grade systems.

Ideal Experience:

  • Designing and scaling RL environments for LLMs
  • Building high-quality evaluation pipelines for frontier models
  • Collaborating with domain experts to define evaluation tools and metrics
  • Crafting training datasets and reward functions using LLMs and/or human feedback
  • Training large models with RLHF, DPO, or instruction tuning
  • Translating abstract requirements into concrete evaluation frameworks and agent behaviors

Bonus:

  • End-to-end experience shipping ML systems in production
  • Prior startup or zero-to-one experience
  • Experience with PyTorch, JAX, or other modern ML frameworks
  • Familiarity with multi-cloud infrastructure and distributed compute
  • While familiarity with biomedical data is welcome, candidates from non-bio backgrounds are strongly encouraged to apply. The team values engineering excellence and creativity over domain-specific experience.

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