Senior ML Engineer: RL Environments for Frontier Models

Preference Model

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive cash and equity compensation
Health, vision, and dental benefits
401K match
Lunch provided everyday onsite
Visa sponsorship & relocation support

Job summary

Preference Model in San Francisco is seeking experienced Machine Learning Engineers to design and build reinforcement learning environments aimed at advancing model capabilities. The role blends research and engineering, requiring ownership of environment design and implementation.

Successful candidates will have strong ML fundamentals, proficiency in Python, and experience with either PyTorch or JAX. We offer competitive compensation, ownership in a fast-paced environment, and various employee benefits including health coverage and 401K matching.

Qualifications

  • Creative in translating research into practical RLVR problems.
  • Expert knowledge in deep learning or machine learning research.
  • Experience with modern LLMs and inference libraries.

Responsibilities

  • Design and build RL environments and reward functions.
  • Collaborate with others to improve environment building processes.
  • Conduct experiments and deliver production-ready environments.

Skills

Strong ML fundamentals
Proficiency in Python
Systems programming
Experience with PyTorch or JAX
Problem-solving skills
Current knowledge of ML infrastructure

Education

PhD or MS in relevant field

Tools

CUDA
Triton
Pallas

Job description

Preference Model in San Francisco is seeking experienced Machine Learning Engineers to design and build reinforcement learning environments aimed at advancing model capabilities. The role blends research and engineering, requiring ownership of environment design and implementation.

Successful candidates will have strong ML fundamentals, proficiency in Python, and experience with either PyTorch or JAX. We offer competitive compensation, ownership in a fast-paced environment, and various employee benefits including health coverage and 401K matching.

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