Machine Learning Engineer 3D Geometry/ Multi-Modal

Autodesk; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

A leading software company is looking for a Machine Learning Engineer in Toronto. This role involves collaboration with researchers to develop ML-powered features and requires strong experience in machine learning and computational geometry. Candidates should have a degree in Computer Science and proficiency in modern deep learning libraries. The position supports a hybrid work model, fostering innovation and problem-solving. Join us in shaping a better world with cutting-edge technology.

Qualifications

• 3+ years of machine learning experience.
• Experience with computational geometry and geometric methods.
• Proficiency with modern deep learning libraries.

Responsibilities

• Collaborate on projects with researchers and engineers.
• Support research through construction of ML pipelines.
• Analyze data and provide solutions to problems.

Skills

Machine learning

Software engineering

Deep learning libraries

Data processing

Collaborative skills

Education

BSc or MSc in Computer Science

Tools

PyTorch

AWS

Azure

Job description

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Engineer at Autodesk Research, you will work side‑by‑side with world‑class researchers and engineers to build new ML‑powered product features to 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 AI researchers to implement generative AI features in Autodesk products.

You will report to a research manager in the Research Engineering organization of Autodesk Research.

This role can be based at either our offices in London, UK or Toronto, Canada. Working in a hybrid working model.

Responsibilities

• Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
• Support research through the construction of ML pipelines, prototypes, and reusable, testable code
• Process data and analyze feature extractions
• Analyze errors and provide solutions to problems
• Present results to collaborators and leadership

Minimum Qualifications

• BSc or MSc in Computer Science, or equivalent industry experience
• 3+ years of machine learning experience
• Experience scaling machine learning training and data pipelines
• Experience with computational geometry and geometric methods including mesh or B‑Rep models
• Experience with version control, reproducibility, and deploying machine learning models
• Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
• Experience with cloud services and architectures (e.g. AWS, Azure)
• Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
• Excellent written documentation skills to document code, architectures, and experiments

Preferred Qualifications

• Experience working with distributed systems
• Knowledge of the design, manufacturing, AEC, or media & entertainment industries
• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

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!

Diversity & Belonging

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

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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

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