Salary
💰 $170,900 - $294,800 per year
Tech Stack
PythonPyTorchTensorflow
About the role
- 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
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, 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