Autodesk

2 months ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead Autodesk AI Lab post-training and alignment research, directing a team of AI scientists to develop reliable, domain-specific foundation-model systems. Drive strategy, architectural decisions, and rigorous evaluation while publishing and collaborating with academia and industry to influence product impact across architecture, engineering, construction, manufacturing, and media.

Location: Toronto, Montreal, Vancouver

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•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.

Key Requirements

•Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches).
•Proven experience leading or mentoring technical research teams in academic, AI research, or industry settings.
•Strong intuition for model behavior, alignment challenges, and post-training trade-offs.
•Experience designing evaluation systems and thinking rigorously about what it means for a model to be ready.
•A PhD or equivalent depth of industry research experience in ML, RL, AI, or a related field.

Experience:AIMLReinforcement learningFoundation modelsResearch leadership

Education:PhD / Doctorate

Skills:Reinforcement learningMachine learningExperimental designLeadershipResearch strategy

Languages:EnglishFrench

Tech Stack:RLHFPPORLAIFDPOFoundation modelsAlignmentEvaluation frameworks

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

2 months ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Toronto, Montreal, Vancouver

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•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.

Key Requirements

•Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches).
•Proven experience leading or mentoring technical research teams in academic, AI research, or industry settings.
•Strong intuition for model behavior, alignment challenges, and post-training trade-offs.
•Experience designing evaluation systems and thinking rigorously about what it means for a model to be ready.
•A PhD or equivalent depth of industry research experience in ML, RL, AI, or a related field.

Experience:AIMLReinforcement learningFoundation modelsResearch leadership

Education:PhD / Doctorate

Skills:Reinforcement learningMachine learningExperimental designLeadershipResearch strategy

Languages:EnglishFrench

Tech Stack:RLHFPPORLAIFDPOFoundation modelsAlignmentEvaluation frameworks

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor