ML Engineer for RL Environments at Preference Model
P
Preference Model
📍 toronto, on, Canada
Job Description
Elevate your career as a Machine Learning Engineer at Preference Model, where you will design and create reinforcement learning environments for cutting-edge ML research. This role focuses on blending your engineering skills with innovative research to enhance model capabilities.
Preference Model seeks experienced ML Engineers committed to building robust RL environments that address real-world complexity. This role requires expertise in Python and either PyTorch or JAX, contributing to advanced ML tasks. Integrating novel ideas into working systems is crucial as you collaborate with a dedicated team to push the frontiers of ML engineering.
Key Responsibilities:
• Design RL environments and create effective reward functions
• Build expertise in ML research and training infrastructure
• Collaborate on innovative tools for environment building
Requirements:
• Strong ML fundamentals and interest in research
• Proficiency in Python and a systems programming language...
Preference Model seeks experienced ML Engineers committed to building robust RL environments that address real-world complexity. This role requires expertise in Python and either PyTorch or JAX, contributing to advanced ML tasks. Integrating novel ideas into working systems is crucial as you collaborate with a dedicated team to push the frontiers of ML engineering.
Key Responsibilities:
• Design RL environments and create effective reward functions
• Build expertise in ML research and training infrastructure
• Collaborate on innovative tools for environment building
Requirements:
• Strong ML fundamentals and interest in research
• Proficiency in Python and a systems programming language...