Senior Responsible AI Research Scientist – Manager
Autodesk
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $175,300 - $302,500 per year
Job Level
Senior
Tech Stack
PythonPyTorchTensorflow
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learninggenerative AILarge Language Modelsdiffusion modelsVision Language ModelsPythonPyTorchTensorFlowJAX
Soft skills
collaborationcommunicationstrategic thinkingteam management
Certifications
PhD in Computer SciencePhD in AI/ML