Responsible AI Research Scientist-Manager. Remote or Hybrid Office US or Canada

Autodesk, Inc.; Toronto; Remote; CAD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Responsible AI Research Scientist-Manager, where you'll lead innovative projects in AI safety and reliability. Collaborate with a diverse team of experts to develop cutting-edge AI systems that prioritize societal benefit and ethical practices. Your expertise will shape the future of AI applications, ensuring they are safe and responsible. Engage in high-impact research, publish findings, and contribute to a culture of inclusivity and innovation. This is a unique opportunity to make a meaningful difference in the world of AI while working in a dynamic and supportive environment.

Qualifications

• PhD in Computer Science or related field focused on responsible AI.
• Strong publication record in AI safety and reliability.

Responsibilities

• Lead research on responsible AI and collaborate with cross-functional teams.
• Develop ML models emphasizing safety and reliability.

Skills

Machine Learning

Deep Learning

Python

AI Safety

Collaboration

Generative AI

Communication Skills

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

JAX

Job description

Responsible AI Research Scientist-Manager

Location: California, USA - Remote; Georgia, USA - Remote; Boston, MA, USA; Vancouver, BC, CAN; Ontario, CAN - Remote

Time Type: Full time

Posted On: Posted 2 Days Ago

Job Requisition ID: 25WD86757

Position Overview

As a Responsible AI Research Scientist-Manager at Autodesk Research, you will be at the forefront of developing safe, reliable, and robust AI systems that help our customers imagine, design, and make a better world. You will join our diverse team of scientists, researchers, engineers, and designers working on cutting-edge projects in AI safety, trustworthy AI, and responsible AI practices across various domains including design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design, and construction.

As a key member of the AI Lab in Autodesk Research, you will leverage your expertise in responsible, safe, and reliable AI to ensure that our AI systems are not only innovative but also aligned with principles of safety, reliability, and societal benefit. Your work will be crucial in shaping the future of AI applications at Autodesk and beyond.

We are active in the wider research community, targeting publications at top-tier conferences such as CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, FAccT, AIES, and others focused on AI safety and responsibility. We collaborate with leading academic and industry labs, combining the best of an academic environment with product-guided research. We are a global team, located in San Francisco, Toronto, London, and remotely.

Responsibilities

1. Lead research projects focused on responsible AI, safe AI, reliable AI, robust AI, and trustworthy AI within a global team.
2. Develop new ML models and AI techniques with a strong emphasis on safety, reliability, and responsible implementation.
3. Collaborate closely with cross-functional teams and stakeholders to integrate responsible AI practices across Autodesk's products and services.
4. Review and synthesize relevant literature on AI safety, reliability, and responsibility to identify emerging methods, technologies, and best practices.
5. Work towards long-term research goals in AI safety and responsibility, while identifying intermediate milestones.
6. Build relationships and collaborate with academics, institutions, and industry partners in the field of responsible and safe AI.
7. Explore new data sources and discover techniques for leveraging data in a responsible and reliable manner.
8. Publish papers and speak at conferences on topics related to responsible, safe, and reliable AI.
9. Think strategically about research directions that align with Autodesk's commitment to safe and responsible AI development.
10. Interest & ability to grow and manage a small team inside the Autodesk AI Lab focusing on Responsible AI.

Minimum Qualifications

1. PhD in Computer Science, AI/ML, or a related field with a focus on responsible, safe, and reliable AI.
2. Strong publication track record in responsible AI, safe AI, or reliable AI, robust AI, or similar domains in top-tier conferences and/or journals.
3. 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).
4. Strong foundation in machine learning and deep learning fundamentals.
5. Excellent coding skills in Python, with experience in PyTorch, TensorFlow, or JAX.
6. Demonstrated ability to work collaboratively in cross-functional teams and communicate complex ideas to both technical and non-technical stakeholders.
7. Experience in applying responsible AI principles to real-world problems and products.

Preferred Qualifications

1. Experience with 3D machine learning techniques and their applications in design, engineering, or manufacturing.
2. Familiarity with AI governance frameworks and regulatory landscapes.
3. Knowledge of fairness, accountability, transparency, and safety in AI systems.
4. Experience in developing or implementing AI safety measures, such as robustness to distribution shift, uncertainty quantification, or AI alignment techniques.
5. Track record of contributing to open-source projects related to responsible AI or AI safety.

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.