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About the Role
As a Research Scientist on the Robotics Team, you will advance the frontier of embodied AI by developing intelligent systems for physical world interaction. You will bridge the gap between theoretical research and large-scale real-world deployment, contributing to Google DeepMind's mission to accelerate AI development for global challenges and product innovation.
Responsibilities
- Architect and train models to expand robotic capabilities and prototype concepts.
- Apply domain expertise in sim-to-real transfer, imitation learning, Vision-Language-Action (VLA) models, multi-sensory learning (tactile, audio), and model optimization (distillation, pruning, quantization).
- Propose novel ideas, address manipulation hardware requirements, and communicate results to audiences.
Requirements
- PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience.
- 5 years of professional research experience in an industrial research and development (R&D) laboratory.
- 3 years of experience designing, training, and scaling reinforcement learning (RL), imitation learning (IL), or multimodal generative architectures (including Vision-Language-Action (VLA) or video foundation models).
- 2 years of experience optimizing foundation models for production, utilizing techniques like distillation, model pruning, and post-training quantization to meet on-device latency and memory footprint constraints.
- 3 years of experience building data pipelines, deploying production-ready systems, and experience managing multi-sensory datasets.
Skills
- Reinforcement learning (RL)
- Imitation learning (IL)
- Multimodal generative architectures
- Vision-Language-Action (VLA)
- Video foundation models
- Foundation model optimization
- Distillation
- Model pruning
- Post-training quantization
- Sim-to-real transfer
- Multi-sensory learning (tactile, audio)
- Data pipelines
- Production systems deployment
Experience Level
- 5 years of professional research experience
- 3 years of experience designing, training, and scaling RL, IL, or multimodal generative architectures
- 2 years of experience optimizing foundation models for production
- 3 years of experience building data pipelines, deploying production-ready systems, and managing multi-sensory datasets
Education Level
- PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning)
- Equivalent practical experience
About the Company
- Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals.
- Google DeepMind is a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation.
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
- Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.