Machine Learning Researcher working with a diverse team to integrate ML techniques into fusion technology. Collaborating with scientists and engineers to drive innovative energy solutions.
About the role
- 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
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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