Autodesk is looking to solve significant business challenges by designing, analyzing, and delivering data-driven solutions, specifically by integrating Machine Learning/AI features into their products and internal tools.
Requirements
- Proficiency with the Python Machine Learning stack, e.g. Pandas, etc
- Knowledge of experimental design and analysis of results
- Prior experience applying Machine Learning, including both Deep Learning (PyTorch), Tensorflow and Classical ML (Scikit-Learn)
- Familiarity with LLMs, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)
- Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications
Responsibilities
- Research, implement and document best practices for scaling our ML capabilities
- Verify, Deploy and monitor trained machine learning models and solutions
- Build new pipelines for efficient data processing and verifying data quality
- Perform statistical and data analysis and exploration to generate datasets for model training and development
- Collaborate with the team to reach better solutions, and to position our team at the cutting edge of technology and ML practices
Other
- Must be currently enrolled in a full-time, degree seeking program with an expected graduation date in 2027, with a focus in Computer Science, Statistic, or related fields
- The 2026 U.S. program runs for 12 weeks (May 18 – August 7 or June 15 – September 4).
- 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.
