ML Engineer (New Grad) — RL Environments

Preference Model; Seattle (WA); On-site; USD 165,000 - 200,000; Full time

Benefits offered by this job

Competitive cash and equity compensation

Health, vision, dental benefits

401K match

Lunch provided everyday onsite

Weekly snack orders

Visa sponsorship & relocation support available

Job summary

Preference Model in Seattle is seeking a new graduate Machine Learning Engineer to design and build reinforcement learning environments. This role combines research and engineering, requiring up-to-date knowledge and innovative coding skills.

The ideal candidate will have solid Python skills, strong problem-solving abilities, and a passion for machine learning. Competitive compensation and benefits are offered, along with ownership in a dynamic startup environment.

Qualifications

• Strong ML fundamentals and broad research interests.
• Smart problem solvers who drive solutions end-to-end.
• Passion for staying current with rapidly evolving ML infrastructure.

Responsibilities

• Design and build RL environments and reward schemes.
• Collaborate to brainstorm and create new ideas.
• Deliver work into production training runs.

Skills

Proficiency in Python

Systems Programming

Problem Solving

Knowledge of PyTorch or JAX

Education

PhD or MS in relevant field

Tools

CUDA

Triton

Pallas

Job description

Preference Model in Seattle is seeking a new graduate Machine Learning Engineer to design and build reinforcement learning environments. This role combines research and engineering, requiring up-to-date knowledge and innovative coding skills.

The ideal candidate will have solid Python skills, strong problem-solving abilities, and a passion for machine learning. Competitive compensation and benefits are offered, along with ownership in a dynamic startup environment.