Autodesk

Autodesk

AI Research Scientist

Toronto, ON, CAN

Sponsorship not specifiedDetected 22 days ago
Machine LearningDeep LearningPyTorchData EngineeringNLPComputer VisionLLMsA/B TestingValuationRoboticsResearch

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Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 86%

Of 29 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 483 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Job Requisition ID # 26WD101116 L'affichage de poste en français suivra / The French job posting follows.
  • The work will initially focus on human and object motion and will extend toward multimodal and interactive settings involving text, trajectories, images, video, geometry, robot observations/actions, and other signals.
  • This role will report to a Manager of Research Science in the AI Lab.

Responsibilities

  • Develop new foundation-model approaches for motion generation, editing, understanding, reasoning, and representation
  • Drive research end-to-end: identify high-value questions, formulate hypotheses, implement ideas, run experiments, analyze failures, iterate, and communicate conclusions
  • Design rigorous evaluations, benchmarks, ablations, and diagnostics that reveal genuine model progress and failure modes
  • Build and modify research code, training pipelines, and data pipelines, using modern AI coding agents where useful while maintaining ownership of correctness, reproducibility, and scientific quality
  • Collaborate across a global research team and with academic and industry partners
  • Strong hands-on ability with PyTorch, JAX, or similar frameworks, including building, modifying, debugging, and scaling research training pipelines
  • Collaborate across a global research team and with academic and industry partners; publish at top-tier conferences and help transfer successful ideas into Autodesk technologies

Requirements

  • A consistent track record of research publications demonstrating experience in applied or fundamental research
  • Deep knowledge of modern generative or foundation-model methods, such as Transformers, diffusion/flow models, latent-variable models, or related architectures
  • Excellent experimental judgment: ability to turn ambiguous research questions into testable hypotheses, controlled experiments, useful metrics, and clear conclusions
  • Demonstrated research ownership, persistence, and execution: a track record of pushing difficult technical problems through repeated experimentation to meaningful results

Nice to have

  • Research experience in human motion, character animation, motion capture, embodied agents, robotics, or other spatiotemporal modeling problems
  • Experience with multimodal or foundation models combining motion with text, images, video, geometry, trajectories, actions, or other modalities
  • Experience with learned motion representations or tokenization (for example VQ/VAE-style methods) and generative methods such as diffusion, flow matching, or autoregressive modeling
  • Research experience with large-scale video foundation models, including video generation, spatiotemporal representations, multimodal conditioning, and scalable training
  • Développer de nouvelles approches de modèles de base pour la génération, l'édition, la compréhension, le raisonnement et la représentation du mouvement
  • Étudier les représentations et la tokenisation du mouvement, la modélisation générative, le conditionnement et l'alignement multimodaux, l'entraînement évolutif, le post-entraînement et le raffinement des modèles
  • Concevoir des évaluations, des tests comparatifs, des analyses d'ablation et des diagnostics rigoureux qui révèlent les progrès réels des modèles et leurs modes de défaillance
  • Travailler à la réalisation d'objectifs ambitieux à long terme tout en définissant des jalons concrets et en maintenant un rythme soutenu d'itération empirique

Compensation

  • Salary transparency

Benefits

  • A Master's or PhD in Computer Science, Machine Learning, Computer Vision, Computer Graphics, Robotics, Mathematics, or a related technical field

Company info

  • We take great pride in our culture here at Autodesk - it's at the core of everything we do.
  • Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, and other top-tier conferences.
  • We collaborate with leading academic and industry labs, combining the best of an academic research environment with product-guided research.
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This listing is sourced directly from Autodesk's careers page and normalized into a canonical job model.