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AI Research Scientist Multimodal VLM and MLLM US or Canada

LinkedIn Autodesk San Francisco, CA
Mid-Senior level Posted March 29, 2026 Job link
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Requirements
  • 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
Preferred Skills
  • 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
  • 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.
Education
  • (Not required) – 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
  • (Not required) – Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)