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AI Research Manager

Job in Toronto, Ontario, C6A, Canada
Listing for: Autodesk
Full Time position
Listed on 2026-06-23
Job specializations:
  • Research/Development
    Artificial Intelligence, Data Scientist
  • IT/Tech
    Artificial Intelligence, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.

We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human‑computer interaction, sustainability, simulation, manufacturing, architectural design and construction.

As a member of the AI Lab in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning, computer vision, reinforcement learning, information retrieval, and natural language processing.

As an AI Research Manager in the AI Lab, you will fulfill a player/coach role, both contributing as an AI Research Scientist and also managing a small team of other AI Research Scientists. As an AI Research Manager you will also participate in AI Lab Leadership meetings and thought leadership.

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 top academic & industry labs, combining the best of an academic environment with product‑guided research. We are a global team, located in London, San Francisco, Toronto, and remotely.

This role will report to a Manager of Research Science in the AI Lab.

Responsibilities
  • Develop new ML models and AI techniques
  • Lead on research projects within a global team
  • People management of a small team of AI Research Scientists
  • Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
  • Work towards long‑term research goals, while identifying intermediate milestones
  • Build relationships and collaborate with academics and institutions
  • Explore new data sources and discover techniques for best leveraging data
  • Publish papers; attend and speak at conferences
  • You will be strategically about research directions
Minimum Qualifications
  • A Master's or PhD in a field related to AI/ML such as:
    Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
  • Publication track record in machine learning conferences and/or journals
  • Significant post‑graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
  • Good background in statistical methods for Machine Learning (e.g., Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
  • Familiarity with Deep Learning techniques (e.g., Network architectures, regularization techniques, learning techniques, loss‑functions, optimization strategies, etc.)
  • Familiarity with PyTorch, Tensor Flow, JAX or similar frameworks
  • Strong coding abilities in Python and/or C++
Preferred Qualifications
  • 2D & 3D Generative AI
  • Computational geometry and geometric methods (e.g., shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
  • Multi‑modal deep learning and/or information retrieval
  • Architecture, Construction, Manufacturing, Media & Entertainment or other Autodesk domains
  • LLMs and Natural Language Processing

Autodesk is proud to be an equal‑opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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