Responsible AI Research Scientist-Manager. Remote or Hybrid Office US or Canada

and societal benefit. Your work will be crucial 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.

Location: San Francisco, Toronto, London, and remotely.

Responsibilities

• Lead research projects focused on responsible AI, safe AI, reliable AI, robust AI, and trustworthy AI within a global team

• Develop new ML models and AI techniques with a strong emphasis on safety, reliability, and responsible implementation

• Collaborate closely with cross-functional teams and stakeholders to integrate responsible AI practices across Autodesk's 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 relationships and collaborate 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 speak at conferences on topics related to responsible, safe, and reliable AI

• Think strategically about research directions that align with Autodesk's commitment to safe and responsible AI development

• Interest & ability to grow and manage a small team inside the Autodesk AI Lab focusing on Responsible AI

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, or 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

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