Senior Responsible AI Research Scientist at Autodesk leading projects in safe and reliable AI. Collaborate globally to integrate responsible AI practices and develop cutting-edge solutions.
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
Requirements
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
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