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.
 

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

Minimum Qualifications

• 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)

Preferred Qualifications

• 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