Machine Learning Engineer


Job Requisition ID #


Position Overview

As a Machine Learning Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers doing fundamental and applied research that will help our customers imagine, design, and make a better world.

You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with our Research Scientists to perform experiments and implement state-of-the-art generative AI algorithms. You are a good communicator, comfortable serving as a translator and straddling the gap between research & development.

The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both. 

Location: Toronto, Canada


  • A Software Engineer with experience building and training robust machine learning systems

  • Familiar with implementing experimental pipelines and prototyping AI applications

  • Comfortable building prototypes from scratch and writing maintainable code within existing codebases

  • A curious, creative problem-solver who is excited to learn & develop new technologies

  • A fast learner & excellent communicator who can effectively collaborate across global locations

  • Scaling techniques for large model training

  • Understand and prototype ideas from research papers

  • Collaborate on research projects & papers with a diverse, global team of Researchers & Engineers

  • Support research through building of experimental pipelines, prototypes, and reusable code

  • Implement scalable machine learning training pipelines

  • Data processing & feature extraction

  • Model training & hyperparameter tuning

  • Error analysis & troubleshooting

Minimum Qualifications

  • BSc or MSc in Computer Science, or equivalent industry experience

  • 3+ years of experience with deep learning and generative models

  • Experience with version controlling, reproducibility, and deploying machine learning models

  • Strong data modelling and data architecture skills

  • Experience with cloud services & architectures (AWS, Azure, etc.)

  • Proficiency with modern deep learning libraries and frameworks

  • Proficiency in coordinating, provisioning, and maintaining systems and compute infrastructure

  • Experience with sync/async distributed methods for data/model parallelism

  • Experience scaling ML training pipelines

  • Experience working in large distributed systems

Preferred Qualifications

  • Experience or interest in computational geometry and geometric methods

  • Multi-modal deep learning and/or information retrieval

  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries

  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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 and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

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