Machine Learning Engineer, RL Environments - Internship
Preference Model4 days ago
Toronto, Canada or San Francisco, CA, USAIntern
Responsibilities
- Design and build RL environments for testing LLM reasoning.
- Write clean, production-grade Python code.
- Work with Docker to create reproducible environments.
- Translate ML papers into concrete training tasks.
Requirements
- Must be an undergrad or PhD student in CS, ML, math, physics, or a related field.
- Strong Python programming skills are required.
- Familiarity with LLMs and their strengths and weaknesses is essential.
- Ability to work independently and iterate quickly based on feedback.
Benefits
- Paid internship with potential for full-time return based on performance.
- Ownership and autonomy in a fast-moving startup environment.
- Opportunity to collaborate with top machine learning engineers.