Senior Ai Research Engineer

AI Summary

Job Description

Design, implement, and evaluate novel machine learning and deep learning algorithms. Iterate on AI model development, from training data to deployment. Collaborate with researchers to prototype solutions, conduct experiments, and develop tools for scalable R&D. Communicate findings and stay current with AI/ML innovations, assisting in transitioning prototypes to production.

Hard Requirements

• M.S or PhD degree in Computer Science or Computer Engineering with strong emphasis on AI and ML
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development (code quality, version control)
• Very strong with ML frameworks (PyTorch, or Tensorflow)
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts
• Strong ability to debug and determine requirements for AI models (data, training, evaluation)
• Up to date with research literature and recent ML techniques and methodologies

Soft Requirements

• Experience with Reinforcement Learning, self-supervised training, and imitation learning
• Experience developing VLA models for robotic manipulation and mobility
• Experience developing production AI models
• Publications at top conferences