Principal AI Research Scientist – Post-Training, Alignment, Reinforcement Learning

Autodesk

AI Research Scientist role focusing on reinforcement learning and post-training methods at Autodesk. Developing novel algorithms and evaluation systems for scalable AI model reliability.

Posted 5/26/2026full-timeRemote • California, Massachusetts, New York, Texas • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact

Post-training for model development
Develop novel algorithms that improve model reliability, controllability, and alignment
Design and run experiments that shape model behavior
Partner with infrastructure teams to build scalable, reproducible workflows
Contribute to publications, patents, and external research visibility
Drive human-in-the-loop evaluation with high annotation quality
Communicate technical risks, limitations, and trade-offs clearly to leadership

Requirements

What you’ll need

Deep hands-on expertise in reinforcement learning for foundation models
Proven experience leading or mentoring technical research teams
Strong intuition for model behavior and alignment challenges
Experience designing evaluation systems
PhD or equivalent depth of industry research experience in ML, RL, AI, or related field
Strong publication record at leading ML or AI venues
Familiarity with large-scale training infrastructure and compute trade-offs

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

reinforcement learningmodel developmentalgorithm designevaluation systemsmodel reliabilitymodel controllabilitymodel alignmenthuman-in-the-loop evaluationscalable workflowsannotation quality

Soft Skills

leadershipmentoringcommunicationintuition for model behaviorrisk assessmenttrade-off analysis

Certifications

PhD in MLPhD in RLPhD in AIequivalent industry research experience