Job Requisition ID #
Position Overview
As a Machine Learning Engineer at Autodesk, you will be responsible for 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 collaborating 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 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. 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 Strands, TensorFlow, PyTorch, Scikit-learn, Pandas, and LangChain/LangGraph. 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
Knowledge Sharing: Stay updated with ML/AI trends, contribute to best practices and organizational learning
Minimum Qualifications
Bachelors or Masters in Computer Science, Machine Learning, Applied Mathematics, or a related field
1+ years of experience in building, deploying, and scaling ML models in production. Fresh graduates are welcome to apply
Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and LLM-related frameworks such as Strands and LangChain/LangGraph
Good understanding of ML algorithms, statistical modeling, and data architecture
Experience with AWS services, including SageMaker, Lambda, ECS, and Step Functions
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 working on ML projects in cross-functional teams
Experience working on LLM-related application like agents with MCP or RAG implementations
Knowledge of responsible AI principles, including model explainability and fairness
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!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $90,400 and $132,550. 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.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
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Top Skills
Autodesk Toronto, Ontario, CAN Office
661 University Ave, Toronto, ON, Canada, M5G 1M1
