Intern, Machine Learning Developer

Autodesk • Toronto, ON

1d • Hybrid

About The Position

As an Artificial Intelligence / Machine Learning (AI/ML) Intern at Autodesk, you will contribute to the development of our AI platform capabilities — building shared frameworks and tools that enable product teams to develop safe, observable, and scalable AI agents. You will work alongside ML Engineers and Data Engineers to design systems that standardize context management, evaluation, observability, and responsible AI practices across Autodesk. The work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. For this role, you’ll get placed into one of our multiple teams building ML / AI features into our products or internal tools.

Requirements

• Currently enrolled in a full-time undergraduate degree program with expected graduation in 2027 or later
• Major in Computer Science, Engineering, Data Science, Statistics, or a related field
• Familiarity with Python and ML frameworks (e.g., Scikit-learn, PyTorch TensorFlow)
• Familiarity with Data Engineering concepts such as data validation, ETL pipelines, and dataset versioning
• Understanding of Machine Learning lifecycle workflows, model evaluation, and experimental design
• Experience with Git and familiarity with cloud environments (e.g., AWS, Azure)

Nice To Haves

• Exposure to LLMs, RAG architectures, or multi-agent systems
• Familiarity with AI Observability tools (LangFuse, Weights & Biases, OpenTelemetry, etc.)
• Understanding of context and state management for AI agents (e.g., memory stores, embeddings, retrieval APIs)
• Experience with prompt safety, PII redaction, or governance frameworks
• Interest in building shared ML tools and SDKs for other developers to adopt
• Knowledge of semantic evaluation metrics and responsible AI practices

Responsibilities

• Research and prototype core AI platform components, including context/state SDKs, evaluation harnesses, and safety frameworks
• Design and implement observability and logging tools for tracing AI agent behaviour, cost, and performance metrics
• Develop data and model pipelines to support retrieval, prompt management, and consistent memory systems
• Support model evaluation and testing for reliability, factual accuracy, and drift detection
• Assist in creating guardrail and redaction APIs to ensure data safety and compliance in prompts and logs
• Collaborate with product AI teams to integrate platform services (context APIs, observability tools, evaluation frameworks) into active use cases
• Document findings, contribute to internal SDKs, and help define best practices for responsible and reproducible AI development

Benefits

• All internships are paid
• Mentored by industry leaders
• Participate in tech talks and other activities designed to support your personal and professional development

What This Job Offers

• Job Type: Full-time
• Career Level: Intern