Job Requisition ID #
Position Overview
As a Responsible AI Research Scientist at Autodesk Research, you will be at the forefront of developing safe, reliable, and robust AI systems that help our customers imagine, design, and make a better world. You will join a diverse team of scientists, researchers, engineers, and designers working on cutting-edge projects in AI safety, trustworthy AI, and responsible AI practices across domains including design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design, and construction.
As a member of the AI Lab in Autodesk Research, you will leverage your expertise in responsible, safe, and reliable AI to ensure that our AI systems are not only innovative but also aligned with principles of safety, reliability, and societal benefit. Your research will play a crucial role in shaping the future of AI applications at Autodesk and beyond.
We are active in the wider research community, targeting publications at top-tier conferences such as CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, FAccT, AIES, and others focused on AI safety and responsibility. We collaborate with leading academic and industry labs, combining the best of an academic environment with product-guided research. We are a global team located in San Francisco, Toronto, London, and remotely.
Responsibilities
Conduct original research on responsible, safe, reliable, robust, and trustworthy AI
Develop new ML models and AI techniques with a strong emphasis on safety, reliability, and responsible implementation
Collaborate with cross-functional teams and stakeholders to integrate responsible AI practices into Autodesk products and services
Review and synthesize relevant literature on AI safety, reliability, and responsibility to identify emerging methods, technologies, and best practices
Work towards long-term research goals in AI safety and responsibility while identifying intermediate milestones
Build collaborations with academics, institutions, and industry partners in the field of responsible and safe AI
Explore new data sources and discover techniques for leveraging data in a responsible and reliable manner
Publish papers and present at conferences on topics related to responsible, safe, and reliable AI
Contribute to the strategic thinking on research directions that align with Autodesk’s commitment to safe and responsible AI development
Minimum Qualifications
PhD in Computer Science, AI/ML, or a related field with a focus on responsible, safe, and reliable AI
Strong publication track record in responsible AI, safe AI, reliable AI, robust AI, or similar domains in top-tier conferences and/or journals
Extensive knowledge and hands-on experience with generative AI, including Large Language Models (LLMs), diffusion models, and multi-modal models such as Vision-Language Models (VLMs)
Strong foundation in machine learning and deep learning fundamentals
Excellent coding skills in Python, with experience in PyTorch, TensorFlow, or JAX
Demonstrated ability to work collaboratively in cross-functional teams and communicate complex ideas to both technical and non-technical stakeholders
Experience in applying responsible AI principles to real-world problems and products
Preferred Qualifications
Experience with 3D machine learning techniques and their applications in design, engineering, or manufacturing
Familiarity with AI governance frameworks and regulatory landscapes
Knowledge of fairness, accountability, transparency, and safety in AI systems
Experience in developing or implementing AI safety measures, such as robustness to distribution shift, uncertainty quantification, or AI alignment techniques
Track record of contributing to open-source projects related to responsible AI or AI safety
#LI-JK3
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!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
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 where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus