Principal ML Engineer (Toronto, Hybrid / Remote)

Autodesk, Inc.; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

An innovative firm is seeking a Principal Machine Learning Engineer to lead the development and deployment of advanced ML solutions. This role involves working with large datasets and utilizing cutting-edge technologies to enhance customer experiences. You will collaborate with various teams to integrate ML models into products, ensuring scalability and efficiency. If you are passionate about driving impactful ML initiatives and have a strong technical background, this is an exciting opportunity to make a difference in a forward-thinking environment that values creativity and innovation.

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 ML models for personalized recommendations.
• Develop and maintain data pipelines supporting ML lifecycle.
• Collaborate with cross-functional teams to integrate ML solutions.

Skills

Python

Machine Learning

TensorFlow

PyTorch

Scikit-learn

Data Architecture

AWS Services

Statistical Modeling

Problem-Solving

Education

Master’s or PhD in Computer Science

Applied Mathematics

Tools

AWS SageMaker

AWS Lambda

AWS ECS

AWS Step Functions

AWS S3

Job description

Principal ML Engineer (Toronto, Hybrid / Remote) page is loaded

Principal ML Engineer (Toronto, Hybrid / Remote)

Apply locations Toronto, ON, CAN
time type Full time
posted on Posted 2 Days Ago
job requisition id 25WD88436

Job Requisition ID # 25WD88436

Position Overview

As a Principal Machine Learning Engineer at 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 collaborate with other teams in the Access domain, partnering with the Autodesk ML Platform team for tooling and infrastructure needs to deploy ML models and AI solutions for Access-related workflows and use cases. If you are technically savvy and want to lead ML/AI initiatives with direct customer and revenue impact, this is the role for you.

Responsibilities

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

2. End-to-End Data Pipeline & Deployment: Design, build, and maintain scalable, fault-tolerant data pipelines supporting the full ML lifecycle leveraging cloud services.

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

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

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

6. 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.

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

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

9. 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, Step Functions, S3, etc.

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

• Strong analytical, problem-solving, and debugging skills.

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

Preferred Qualifications

• Experience mentoring junior engineers or leading 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 green buildings and clean cars to smart factories and hit movies. We help innovators turn ideas into reality, transforming how things are made and what can be made.

We pride ourselves on our culture, with our Culture Code at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, leading to better outcomes for our customers.

As an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future. Ready to shape the world and your future? Join us!

Salary transparency

Salary is part of Autodesk’s competitive compensation package. Offers are based on experience and location. In addition to base salary, we emphasize discretionary bonuses, commissions, stock or long-term incentives, and comprehensive benefits.

Diversity & Belonging

We cultivate a culture of belonging and an equitable workplace where everyone can thrive. Learn more: https://www.autodesk.com/company/diversity-and-belonging

Existing contractors or consultants

If you are an existing contractor or consultant, please search for open jobs and apply internally.

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