Intern, AI/ML Platform (Winter)

Autodesk, Inc; Toronto; Hybrid; CAD 36,000 - 54,000; Full time

Benefits offered by this job

Paid internship

Mentorship program

Tech talks

Job summary

Autodesk, Inc in Canada is seeking an AI/ML Intern to join the AI/ML Platform team for 16 weeks. You will work on MLOps, generative AI for CAD data, and scalable ML pipelines on GPU/cloud infrastructure.

You will collaborate with engineers and researchers, gain hands-on experience, and contribute prototypes and benchmarking tools to Autodesk’s next-generation AI platform. This paid internship offers mentorship and flexible work options.

Qualifications

• BS or MS in Engineering, Computer Science, or related field.
• Strong Python programming skills.
• Familiarity with ML frameworks (PyTorch, TensorFlow, or JAX).
• Understanding of ML fundamentals (training loops, evaluation metrics, embeddings).
• Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, or GCP).
• Strong collaboration and problem-solving abilities.

Responsibilities

• Assist in improving training and deployment workflows for ML models on large-scale GPU/cloud infrastructure.
• Explore and prototype generative AI techniques for working with CAD data (embeddings, text-to-geometry, retrieval-augmented workflows).
• Develop evaluation frameworks and benchmarking tools to assess model quality and failure modes.
• Learn to operate ML workloads at scale using Kubernetes, Ray, and distributed frameworks.
• Document experiments and present findings to influence Autodesk’s platform strategy.

Skills

Python

ML fundamentals

MLOps

Problem-solving

Education

BS or MS in Engineering or Computer Science

Tools

Docker

Kubernetes

Ray

MLflow

Job description

Job ID26WD101061DepartmentCanada - Time TrackingJob Requisition ID #26WD101061Position OverviewAutodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a motivated AI/ML Intern to join our AI/ML Platform team. This role is focused on advancing MLOps practices and exploring generative AI techniques for CAD and geometry data.You will collaborate with platform engineers and applied ML researchers to help scale training, evaluation, and deployment pipelines, and contribute to research-driven prototypes that improve how ML models interact with Autodesk’s unique 2D/3D design data.You will gain hands-on exposure to MLOps and generative AI applied to CAD/geometry data at enterprise scale and mentorship from engineers and researchers with expertise in AI infrastructure, ML platforms, and CAD/geometry ML. You will have the opportunity to contribute prototypes and benchmarking tools that inform Autodesk’s next-generation AI/ML platform and a deep understanding of how ML research translates into scalable, production-ready systems used by designers and engineers worldwide.This is an opportunity to bridge modern ML research with platform engineering, gaining experience in building reliable, scalable AI/ML systems that support a wide range of Autodesk products.ResponsibilitiesMLOps Best Practices: Assist in improving training and deployment workflows for ML models on large-scale GPU/cloud infrastructureGenerative AI for CAD: Explore and prototype AI techniques for working with 3D/CAD data (e.g., embeddings, text-to-geometry, retrieval-augmented workflows)Experiment Tracking & Benchmarking: Develop evaluation frameworks and benchmarking tools to assess model quality, failure modes, and efficiencyInfrastructure Exposure: Learn how to operate ML workloads at scale using Kubernetes, Ray, and distributed training frameworks.Monitoring & Governance: Contribute to building robust monitoring, versioning, and governance systems for ML workflowsKnowledge Sharing: Document experiments and present findings that influence Autodesk’s platform strategy and product integrationMinimum QualificationsCurrently pursuing a BS or MS in Engineering, Computer Science, or a related fieldStrong proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)Understanding of ML fundamentals (training loops, evaluation metrics, embeddings, transformers)Exposure to MLOps concepts such as containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, or GCP)Strong problem-solving ability and collaborative mindsetPreferred QualificationsExperience with LLMs, VLMs, or generative models (especially applied to 2D/3D data)Familiarity with MLOps tools (Ray, MLflow, Neptune.ai, CometML, Weights & Biases, Airflow)Knowledge of vector databases (pgvector, Pinecone, FAISS) or retrieval systemsCoursework, projects, or research in geometry processing or CAD dataCoursework, projects, or research in physics-heavy fields (e.g. robotics, simulations, aerodynamics, etc.)Experience benchmarking models and analyzing failure modesAbout the Canada Internship ProgramThe 2027 Canada Internship program runs for 16 weeks (January 4th – April 23rd). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.Learn MoreAbout AutodeskWelcome 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 transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belongingIn-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.