RL Environments Engineer (Contractor, Remote)

Overview

The RL Environments Engineer will design and build MLE environments to teach LLMs better reasoning and advanced concepts from modern machine learning.

In Short

• Remote contractor role with ≥4 hours overlap to PST.
• Strong Python programming skills required.
• Experience with Docker and production mindset.
• Clear understanding of LLMs and their limitations.
• Strong expertise in CUDA or Pallas kernel development preferred.
• Knowledge in active DL/ML research areas is a plus.
• Ability to meet throughput expectations and respond quickly to feedback.
• Experience in building complex interactive RL environments.
• Strong fundamentals and broad research interests in ML.
• Creative problem-solving skills in RL-based learning systems.

Requirements

• Advanced English proficiency (C1/C2).
• Strong Python (engineering-quality, not notebook-only).
• Docker experience with a focus on debugging and reliability.
• Clear understanding of LLMs and their limitations.
• Expertise in CUDA or Pallas kernel development.
• Knowledge in generative modeling, geometry, topology, and reasoning.
• Experience in building complex interactive RL environments.
• Strong fundamentals in machine learning.
• Ability to translate research into RLVR problems.
• Creativity in solving open-ended RL-based learning challenges.

Benefits

• Work remotely from anywhere.
• Opportunity to work with leading AI labs.
• Engage in cutting-edge research in AI.
• Collaborate with experienced professionals from the AI field.
• Flexible working hours with a focus on productivity.