Intern, Machine Learning Research
AMER - United States - California - San Francisco - Pier 9
Full Time Internship Entry-level / Junior USD 47K - 162K
Autodesk
Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.Job Requisition ID #
24WD82913Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Research Intern in Autodesk Research’s AI Lab you’ll apply advanced machine learning techniques to help our customers design and create a better, safer, more sustainable world. We are a team of researchers, engineers, and industry domain experts working on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
We are looking for an intern to work with us on machine learning research applied to design. You are a graduate student working with machine learning and are passionate about solving problems and building things. You have experience with generative models, running experiments, and publishing your research results. You have experience with geometry problems with a particular interest in machine learning representations used with computer-aided design (CAD).
Autodesk’s AI Lab is active in the wider research community, targeting publications at NeurIPS, ICML, ICLR, SIGGRAPH, CVPR, and other top-tier conferences. For a list of our publications see: https://www.research.autodesk.com/publications/#/selected-filter/publications-research-area-ai-lab. You will report to a research manager in the Autodesk Research’s AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
Responsibilities
Collaborate on an intern research project at the intersection of machine learning and geometry
Design and develop machine learning models suitable for geometry representation
Process data and analyze feature extractions
Review relevant AI/ML literature to identify emerging methods, technologies, and baseline approaches
Document and present project results to collaborators and leadership
Minimum Qualifications
Full-time student pursuing an MS or Ph.D. (preferred) in Computer Science, Computational Design, Graphics, Machine Learning or a discipline in an accredited program with at least one academic term to complete post-internship
Broad understanding of machine learning and deep learning
Excellent programming and software development skills, with experience in Python
Proficient with ML & DL platforms & libraries (PyTorch, PyTorch Lightning, Ray etc.)
Experience with version control, reproducibility, and writing reusable, testable code
Excellent written documentation skills to document code, architectures, and experiments
Experience conducting research and publishing results
An excellent communicator and team player
Interest or experience in design (e.g. industrial or mechanical design)
Preferred Qualifications
Experience with cloud services and architectures (e.g. AWS, Azure)
Knowledge of the design, manufacturing, and AEC industries
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
Experience working with distributed systems
About the US Intern Program
The 2025 U.S. program runs for 12 weeks (May 19 – August 8 or June 16 – September 5). 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.
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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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, and can exceed this range.
For U.S.-based roles, we expect a starting annualized intern base salary to be between:
- $47,840 and $95,680 (undergraduate students)
- $72,800 and $118,500 (Masters/MBA students)
- $118,560 and $162,240 (PhD students)
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Tags: Architecture AWS Azure CAD Computer Science Computer Vision Deep Learning Distributed Systems Generative modeling ICLR ICML Industrial Machine Learning ML models NeurIPS PhD Python PyTorch Research Robotics
Perks/benefits: Career development Competitive pay Conferences Flex hours Team events
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