Principal ML Engineer (Toronto, Hybrid / Remote)

Autodesk; Toronto; Remote; CAD 100,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Principal Machine Learning Engineer to lead the development of cutting-edge machine learning solutions. This role involves working with large datasets and deploying scalable systems using AWS. You will collaborate with various teams to integrate ML into products, ensuring a direct impact on customer experience and revenue. If you are passionate about ML/AI and want to drive meaningful change, this is an exciting opportunity to shape the future of technology. Join a company that values creativity and collaboration, and be part of a team that is transforming the industry.

Benefits

Comprehensive benefits package

Discretionary annual cash bonuses

Stock options

Flexible working hours

Learning and development opportunities

Qualifications

• 5+ years of experience in building and deploying ML models.
• Strong proficiency in Python and ML libraries.
• Good understanding of ML algorithms and data architecture.

Responsibilities

• Design and build scalable machine learning models.
• Develop and maintain data pipelines for ML lifecycle.
• Collaborate with cross-functional teams to integrate ML.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

XGBoost

AWS

Machine Learning

Data Architecture

Statistical Modeling

Education

Master’s or PhD in Computer Science

Machine Learning

Applied Mathematics

Tools

AWS SageMaker

AWS Lambda

AWS ECS

AWS Step Functions

Job description

Job Requisition ID #

25WD88436

Position Overview

As a Principal Machine Learning Engineerat Autodesk, you will be responsible for leading, building and deploying cutting-edge machine learning solutions that personalize and enhance the customer experience across our platforms. You will work with large-scale datasets, collaborate cross-functionally, and apply state-of-the-art techniques to deliver intelligent, scalable systems. This role emphasizes hands-on ML development and deployment using the AWS stack. You will be collaboratingwith other teams in the Access domain, partnering with the Autodesk ML Platform team for toolingand infrastructure needs to deploy ML models and AI solutions for Access related workflows and use cases. If you are technically savvy, and want to pave the way in ML/AI in use cases that have a direct customer and revenue impact, this is a role for you.

Responsibilities

• ML Model Development: Design and build scalable machine learning models using large datasets to provide personalized recommendations, predictions, and classifications. A rchitect and manage deployment for large-scale ML lifecycle on AWS, leveraging deep expertise to build scalable, secure, and cost-optimized solutions

• End-to-End Data Pipeline & Deployment - Design, build, and maintain scalable, fault-tolerant data pipelines that support the full ML lifecycle leveraging cloud services

• Software Engineering: Write maintainable code using frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and XGBoost. Integrate ML pipelines into CI/CD workflows

• Platform Scalability: Design and implement scalable inference services for real-time and batch use cases

• Model Performance Optimization: Test and improve model accuracy, efficiency, and speed. Monitor model health and maintain automated retraining

• Cross-Functional Collaboration: Work with ML researchers, software engineers, product managers, architects, and operations teams to integrate ML into Autodesk products. Translate requirements into effective ML solutions

• Productization of Research: Develop prototypes and reusable components to turn research into production-ready features

• Ownership & Leadership: Lead deliverables, make key architectural decisions, and contribute to the evolution of Autodesk’s AI/ML platform

• Knowledge Sharing: Stay updated with ML/AI trends, contribute to best practices and organizational learning

Minimum Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field

• 5+ years of experience in building, deploying, and scaling ML models in production

• Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and XGBoost

• Good understanding of ML algorithms, statistical modeling, and data architecture

• Experience with AWS services, including SageMaker, Lambda, ECS, and Step Functions, S3, etc

• Ability to integrate ML pipelines into cloud-based systems and production applications

• Strong analytical, problem-solving, anddebugging skills

• Technical Communication: Clearly present findings and results to both technical and non-technical stakeholders

Preferred Qualifications

• Experience mentoring junior engineers orleading ML projects in cross-functional teams

• Knowledge of responsible AI principles, including model explainability and fairness

• Understanding of compute infrastructure, distributed systems, and provisioning in cloud environments

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: https://www.autodesk.com/company/diversity-and-belonging

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