Principal AI Research Engineer

Join our team as a Principal AI Research Engineer, where you will design, implement, and evaluate novel machine learning and deep learning algorithms. You will collaborate with other researchers, conduct experiments, develop tools and frameworks, and communicate research findings to leadership. A strong background in AI and ML, as well as experience with ML frameworks such as Pytorch or Tensorflow, is required.

• Design, implement, and evaluate novel machine learning and deep learning algorithms, and iterate on AI model development.
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature, and conduct experiments to benchmark new techniques.
• Communicate research findings to leadership in a concise, and convincing manner, and stay current with the latest developments in AI/ML.
• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML
• Is up to date with research literature and recent ML techniques and methodologies
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus
• Experience developing production AI models is a plus
• Publications at top conferences are a plus