Senior ML Engineer (AI Research, Physical AI)

Навыки

• CI/CD
• Code review
• Коммуникация
• Computer Vision
• Data Quality
• Git
• Лидерство

О компании и продукте

• Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
• Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
• Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
• This role is for Nebius AI R&D, a team focused on applied research in AI. Our Physical AI research aims to build intelligent agents that can perceive, reason, and act in the physical world. Research areas include:

Будет плюсом

• Experience working with real-world robots and robotic simulation environments
• Experience with dexterous manipulation, whole-arm manipulation, mobile manipulation, or humanoid robotics
• Experience with multimodal sensing, including tactile, force-torque, depth, and proprioceptive signals
• Experience collecting human demonstrations through teleoperation, motion capture, wearable devices, or observation
• Experience developing or post-training vision-language models, vision-language-action models, or video and world models
• Experience with deep reinforcement learning techniques such as offline RL , actor-critic methods, PPO , reward modeling, preference learning, or model-based RL
• Familiarity with robotics tools and simulators such as MuJoCo, Isaac Sim, Isaac Lab, PyBullet, ROS , or equivalent systems
• Knowledge of scalable training techniques such as FSDP or ZeRO , FlashAttention, mixed-precision training, quantization, and distributed checkpointing
• A PhD in Computer Science, Robotics, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
• A track record of impactful publications, open-source contributions, or deployed robotic systems
• Experience engineering large distributed data-processing, simulation, or model-training systems
• A record of building and delivering products or research prototypes in a dynamic, startup-like environment
• Passion for moving research from controlled experiments to capable, reliable real-world robotic systems
• Excellent command of English, with strong technical writing, presentation, and communication skills
• Proficiency in contemporary software engineering practices, including version control, testing, code review, and CI/CD
• Benefits & Perks
• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• What's it like to work at Nebius
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

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