Senior ML Engineer (AI Research, Physical AI)

📋 Description

• Design, implement, train, and evaluate large-scale ML models for robotic agents.
• Develop vision-language-action architectures linking perception, language understanding, and
• Research and apply RL, imitation learning, and learning-from-demonstration for complex robotic
• Incorporate human demonstrations, simulation data, video, and autonomous robot experiences into AI
• Create datasets, evaluation methodologies, data-quality pipelines, and capture strategies for
• Develop simulation environments and conduct sim-to-real experiments on robotic platforms.

🎯 Requirements

• Strong theoretical understanding of ML, RL, robotics, or related AI disciplines.
• Deep expertise in reinforcement learning, imitation learning, multimodal generative modeling
• Experience training modern deep learning models (transformers) and using Python for
• Experience with JAX or equivalent frameworks; ability to design rigorous ML experiments and analyze
• Excellent documentation and communication; ability to collaborate across research and engineering
• Familiarity with software engineering practices (version control, testing, CI/CD).

🎁 Benefits

• Competitive compensation package.
• Flexible work environment with autonomy and ownership.
• Opportunity to work on advanced AI research with real-world impact.
• Career growth opportunities and continuous learning support.
• Collaboration with international research/engineering teams.
• Innovative culture focused on experimentation and meaningful progress.