Machine Learning Research Engineer, 3D

Autodesk; Toronto; Hybrid; CAD 119,000 - 207,000; Full time

Job summary

A leading software company located in Toronto is seeking an experienced engineer to lead projects focused on data acquisition and machine learning. You will develop scalable data pipelines and ensure compliance with ethical data use. The ideal candidate has a Master's or PhD, excellent software engineering skills, and experience with large datasets. Competitive salary range is offered, along with flexible working options.

Benefits

Health and financial benefits

Flexible working options

Comprehensive benefits package

Qualifications

• Experience working with large multimodal machine learning datasets.
• Strong data processing skills with 2D and 3D geometry.
• Proficiency in testing and deployment pipelines.

Responsibilities

• Lead engineering projects in data acquisition and benchmarking.
• Develop scalable data pipelines for machine learning.
• Ensure ethical use of data compliance.

Skills

Machine learning implementation

Data modeling

Excellent communication

Software engineering

Cloud proficiency

Education

MSc or PhD in Computer Science, Engineering, or related

Tools

Linux

Multiprocessing

Ray

Spark

Job description

Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product. You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.

Responsibilities

• Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking.
• Organize and curate large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into a unified format suitable for machine learning.
• Develop and deploy highly scalable data pipelines for machine learning.
• Conduct and analyze experiments on data to provide insights to other researchers and leadership.
• Work with our legal and trust teams to ensure compliant and ethical use of data.
• Write robust, testable code that is well-documented and easy to understand.

Minimum Qualifications

• MSc or PhD in Computer Science, Engineering, or a related technical discipline.
• Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).
• Experience working with large multimodal machine learning datasets.
• Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry.
• Excellent communication skills to document code, produce visualizations, and present findings from experiments.
• Proficiency with Linux, cloud, version control, testing and deployment pipelines.

Preferred Qualifications

• Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.
• Experience with collecting human data for training and evaluating ML models.
• Strong publication record related to ML, datasets and benchmarks. Experience with computational geometry, CAD data, and 3D formats such as meshes, boundary representations (BReps), or implicit representations.
• Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.
• Motivated by the opportunity to apply machine learning to real-world challenges in design, manufacturing, construction, and media & entertainment.

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!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting benefits.autodesk.com.

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we\'re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. 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.

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

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