Explore cutting-edge machine learning projects at Preference Model as a Kernel Development Engineer. Bring your low-level coding skills in C/C++, CUDA, and Python to develop complex reinforcement learning environments.
In this role, you will design and engineer robust RL environments that benchmark advanced AI models against challenging tasks. Your expertise will be essential in choosing relevant domains and developing performance metrics that cannot be gamed, ensuring real progress in the AI landscape. Engagement with hardware and understanding systems engineering are crucial to succeeding in this cutting-edge role.
Key Responsibilities:
• Create high-quality kernel-focused reinforcement learning environments
• Evaluate and select settings that address specific hard areas




• Develop scoring mechanisms that remain unexploited
• Work closely with advanced hardware frameworks and simulators
• Derive diverse tasks from single setting designs
Requirements:
• Proficient in systems programming with C / C++ / CUDA and Python
• Proven experience in low-level kernel development
• Expertise in hardware-aware coding practices
• Ability to independently complete projects and solve problems
• Experience with LLMs is a benefit
Elevate your engineering career by creating unprecedented RL environments and improving AI methodologies with Preference Model.
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📌 Kernel Development Engineer Ml Environments Toronto
🏢 Preference Model
📍 Toronto