Intern, Machine Learning Developer

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

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)
• 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
• What You'll Gain
• Experience building core AI platform services that scale across multipl Autodesk products
• Hands-on exposure to responsible AI frameworks, observability systems, and multi-agent architectures
• Opportunity to work with cross-functional teams on infrastructure that supports AI-driven innovation
• A chance to contribute to the foundation of Autodesk's AI/ML ecosystem, enabling safe, consistent, and transparent AI adoption across the organization
• About the Canada Intern Program
• 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. Offers are based on the candidate's experience, educational level, and geographic location.
• Diversity & Belonging
• We take pride in cultivating a culture of belonging where everyone c

Additional Information

Job Requisition ID # 25WD92311 Position Overview At Autodesk, we're reimagining what's possible. As a global leader in 3D design, engineering, and entertainment software, we help people everywhere imagine, design, and create a better world. 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.

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