ML Engineer

Autodesk; Toronto; On-site; CAD 90,000 - 133,000; Full time

Job summary

A leading software company in Toronto is seeking a Machine Learning Engineer to develop and deploy machine learning solutions that enhance customer experience. The role involves building scalable models, maintaining data pipelines, and collaborating with various teams. Candidates should have a strong background in Python and ML libraries, with at least a year of experience. An engaging company culture valuing innovation and diversity awaits you.

Qualifications

• 1+ years of experience in building, deploying, and scaling ML models in production. Fresh graduates are welcome.
• Strong proficiency in Python and ML libraries.
• Good understanding of ML algorithms and data architecture.

Responsibilities

• Design and build scalable machine learning models.
• Maintain scalable data pipelines for the full ML lifecycle.
• Integrate ML pipelines into CI/CD workflows.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

Machine learning algorithms

AWS services

Education

Bachelors or Masters in Computer Science, Machine Learning, Applied Mathematics, or a related field

Tools

AWS SageMaker

AWS Lambda

AWS ECS

AWS Step Functions

Job description

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

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