Autodesk

Intern, AI/ML Platform (Winter)

Toronto, ON, CAN · Intern · Internship

Sponsorship not specifiedDetected 19 days ago

PythonVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesPlatform EngineeringMachine LearningTensorFlowPyTorchAirflowNLPLLMsMLOpsRoboticsResearchProblem SolvingMentoring

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odds of building a lasting career here

38Risky

Cap-exempt (no lottery)0

Sponsors this role85

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 86%

Of 29 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 483 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

This role is focused on advancing MLOps practices and exploring generative AI techniques for CAD and geometry 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.
Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies.

Responsibilities

Experiment Tracking & Benchmarking: Develop evaluation frameworks and benchmarking tools to assess model quality, failure modes, and efficiency
Monitoring & Governance: Contribute to building robust monitoring, versioning, and governance systems for ML workflows
Knowledge Sharing: Document experiments and present findings that influence Autodesk's platform strategy and product integration
Develop evaluation frameworks and benchmarking tools to assess model quality, failure modes, and efficiency
Contribute to building robust monitoring, versioning, and governance systems for ML workflows
Document experiments and present findings that influence Autodesk's platform strategy and product integration

Requirements

Strong proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)

Nice to have

Experience 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 systems
Coursework, projects, or research in geometry processing or CAD data
Coursework, projects, or research in physics-heavy fields (e.g. robotics, simulations, aerodynamics, etc.)
Experience benchmarking models and analyzing failure modes
About the Canada Internship Program
The 2027 Canada Internship program runs for 16 weeks (January 4th - April 23rd).

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Company info

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This listing is sourced directly from Autodesk's careers page and normalized into a canonical job model.