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Added just now
LM
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- Full-time
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Autodesk

PhD Researcher, AI Research

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Requisition ID #

26WD101373

Position Overview

As a PhD Research intern in Autodesk Research’s AI Lab, you will explore and apply advanced machine learning techniques to empower our customers in designing and building a better, safer, and more sustainable world. We are a team of researchers, engineers, and industry domain experts working on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.

We are seeking a research intern to join our research team focused on machine learning and generative methods for content creation in the media and entertainment space. In this role, you will conduct research on novel methods for character animation and related problems at the intersection of machine learning and computer graphics. Potential research directions include generative motion models, controllable character animation, data-efficient learning and adaptation, representation learning, and learning approaches that incorporate physics or simulation. The goal of this research is to enable more intuitive use of our animation tools by automating repetitive tasks.

Autodesk's AI Lab is actively engaged in the broader research community, targeting publications at top-tier conferences such as CVPR, NeurIPS, ICML, SIGGRAPH, and ICLR. We collaborate with top academic & industry labs, combining the best of an academic environment with product-driven research.

Minimum Qualifications

Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a discipline in an accredited program
Broad understanding of machine learning and deep learning
Excellent Programming and software development skills, with experience in Python
Proficient with ML & DL platforms & libraries (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.)
Experience conducting research and publishing results
An excellent communicator and team player

Preferred Qualifications

Deep expertise in one or more areas such as computer graphics, character animation, motion generation, 2D/3D geometry representation learning, generative models, and unsupervised/self-supervised learning
Experience with differentiable physics, data-driven computational physics, solver-driven learning (physics-in-the-loop), physics-informed models
Experience with transfer learning, fine-tuning, few-shot learning, or other data-efficient learning methods is a plus
Bonus: experience with physics real-time engines (such as Bullet, Unreal, or PhysX)
Bonus: experience with modeling tools (such as Maya, Houdini, or Blender)

Responsibilities

Conduct research on machine learning methods for character animation and related problems in media and entertainment
Formulate research questions, conduct literature reviews, and design experiments to investigate them
Build prototypes to test and explore concepts
Evaluate research findings and prototypes to make recommendations for impacting business and products
Author a full research paper
Present the results of your research externally and internally

About the Canada PhD Research Program

The 2027 Canada Research intern program runs for 18 weeks (May 24th – Oct 1st, 2027). All internships are paid. As a research intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Apply About employer

More about this job

Responsibilities

Conduct research on machine learning methods for character animation and related problems in media and entertainment. Build prototypes, evaluate research findings, and author a full research paper.

Requirements

Must be a full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, or Machine Learning. Requires strong programming skills in Python and proficiency with deep learning platforms like PyTorch or TensorFlow.

Skills

Machine learning
Deep learning
Python
PyTorch
TensorFlow
Computer graphics
Character animation
Generative models
Computer vision
Robotics
Physics simulation
Data-efficient learning
Representation learning
Software development
Communication

Benefits

Paid internship
Mentorship
Tech talks
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Machine learning
Deep learning
Python
PyTorch
TensorFlow
Keras
ONNX
Computer graphics
Character animation
Generative models
Computer vision
Robotics
Physics simulation
Differentiable physics
Unsupervised learning
Self-supervised learning
Few-shot learning
Maya
Houdini
Blender
Unreal Engine
Bullet
PhysX
Research
Artificial intelligence
Media and entertainment

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