Senior AI Research Engineer focusing on practical applications of AI technologies for industrial intelligence. Involves building and operationalising AI models in a hybrid work environment.
About the role
- Responsible AI Research Scientist-Manager at Autodesk developing safe AI systems for a better world. Leading research on responsible AI practices across multiple domains with a diverse team.
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
- annual cash bonuses
- commissions for sales roles
- stock grants
- comprehensive benefits package
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