About The Position

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. Location: UK/EMEA, US or Canada Remote or Hybrid.

Requirements

  • 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

Nice To Haves

  • Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
  • Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding
  • Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction domain

Responsibilities

  • 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
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