AI Research Scientist, Autodesk

• A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
• Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
• Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
• Familiarity with PyTorch, PyTorch Lightning, or similar frameworks
• Strong coding abilities in Python
• Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms
• Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs
• Publication track record in machine learning conferences and/or journals

Desirable

• As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world
• We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction
• This role will report to a Research Manager in the AI Lab
• Develop new ML models and AI techniques
• Lead on research projects within a global team
• Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
• Explore new data sources and discover techniques for best leveraging data