AI Scientist in Reinforcement Learning
Job Description & How to Apply Below
Elevate AI innovation as a Post-Training AI Scientist with Autodesk, focusing on reinforcement learning techniques. Engage in research that transforms theoretical knowledge into practical product advancements.
In this role as a Principal Research Scientist, you will lead the design of experiments and make principled architectural decisions. Collaborate with teams to develop reproducible workflows and conduct high-fidelity evaluations. Your expertise will directly impact the field of AI model development and design.
Key Responsibilities:
• Conduct post-training optimization using RLHF techniques
• Lead teams in crafting evaluation systems for agentic behavior
• Analyze model performance with robust methodologies
• Present complex trade-offs effectively to diverse stakeholders
• Drive collaborations to increase external research visibility
Requirements:
• Expertise in reinforcement learning for foundation models
• Leadership experience in AI research teams
• Strong understanding of post-training challenges
• Proven publication record in leading machine learning venues
• Familiarity with practical AI systems deployment
Shape the future of AI technology at Autodesk's research lab.
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