Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU)

Research & Technical Leadership

• Own post-training strategy for model development — from RLHF and preference optimization to agentic systems and long-horizon reasoning
• Develop novel algorithms that improve model reliability, controllability, and alignment
• Make principled architectural decisions about when to address challenges at the pre-training, post-training, or system level
• Design and run experiments that shape model behavior, robustness, and reasoning quality
• Partner with infrastructure teams to build scalable, reproducible post-training workflows
• Contribute to publications, patents, and Autodesk's external research visibility

Evaluation & Model Quality

• Design evaluation frameworks for long-horizon reasoning, tool use, agentic behavior, safety, and real-world workflow completion
• Lead rigorous model analysis and interpretability efforts
• Drive human-in-the-loop evaluation with high annotation quality and sound scientific methodology
• Establish model readiness criteria and provide go/no-go recommendations for releases
• Communicate technical risks, limitations, and trade-offs clearly to leadership

Team & Organizational Leadership

• Manage, mentor, and grow a team of AI scientists
• Set technical direction and research priorities across post-training and alignment initiatives
• Foster a research culture grounded in scientific rigor, reproducibility, and fast iteration
• Help recruit world-class talent across ML, RL, alignment, and foundation models
• Partner closely with pre-training teams, infrastructure, product organizations, and other stakeholders
• Translate research trade-offs into clear, decision-ready guidance for leadership