
Senior Responsible AI Research Scientist. Remote or Hybrid Office US or Canada
Autodesk
The Role
Overview
Senior researcher leading responsible AI projects to ensure safe, reliable AI at Autodesk.
Key Responsibilities
- literature review
- model development
- data exploration
- research leadership
- partner collaboration
- cross-functional integration
Tasks
-Review and synthesize relevant literature on AI safety, reliability, and responsibility to identify emerging methods, technologies, and best practices -Develop new ML models and AI techniques with a strong emphasis on safety, reliability, and responsible implementation -Build relationships and collaborate with academics, institutions, and industry partners in the field of responsible and safe AI -Lead research projects focused on responsible AI, safe AI, reliable AI, robust AI, and trustworthy AI within a global team -Publish papers and speak at conferences on topics related to responsible, safe, and reliable AI -Explore new data sources and discover techniques for leveraging data in a responsible and reliable manner -Collaborate closely with cross-functional teams and stakeholders to integrate responsible AI practices across Autodesk's products and services -Work towards long-term research goals in AI safety and responsibility, while identifying intermediate milestones
Requirements
- phd
- python
- pytorch
- tensorflow
- generative ai
- ai safety
What You Bring
-Strong publication track record in responsible AI, safe AI, or reliable AI, robust AI, or similar domains in top-tier conferences and/or journals -Experience in applying responsible AI principles to real-world problems and products -Track record of contributing to open-source projects related to responsible AI or AI safety -Knowledge of fairness, accountability, transparency, and safety in AI systems -Demonstrated ability to work collaboratively in cross-functional teams and communicate complex ideas to both technical and non-technical stakeholders -Experience in developing or implementing AI safety measures, such as robustness to distribution shift, uncertainty quantification, or AI alignment techniques -Interest & ability to grow and manage a small team inside the Autodesk AI Lab focusing on Responsible AI -PhD in Computer Science, AI/ML, or a related field with a focus on responsible, safe, and reliable AI -Strong foundation in machine learning and deep learning fundamentals -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) -Excellent coding skills in Python, with experience in PyTorch, TensorFlow, or JAX -Familiarity with AI governance frameworks and regulatory landscapes -Experience with 3D machine learning techniques and their applications in design, engineering, or manufacturing
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The Company
About Autodesk
-Pioneered software for 2D and 3D design, revolutionizing industries. -Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows. -Empowering creators in fields from construction to digital media, enabling more innovative designs. -Develops tools used in iconic projects, from skyscrapers to blockbuster movies. -Pushes the boundaries of design technology, leading the way in artificial intelligence and automation. -Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment. -Cloud-based solutions streamline design processes and foster real-time collaboration across industries. -A leader in 3D design software, with solutions powering projects in every corner of the globe. -Committed to shaping the future of digital design, bringing complex visions to life.
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Mechanical Engineering
Mechanical CAD
Thermal Simulation
Electronic Design Automation
Print Circuit Board Design
Mechanical, Electrical, and Plumbing (MEP)
HVAC
Fabrication
Estimation
Infrastructure
Civil Engineering
Genetic Engineering (Life Sciences)
