Robotics AI Research Scientist: Foundation Models

Socket.dev

Cambridge (MA)

On-site

USD 147,000 - 210,000

Full time

14 days+

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Job summary

Google DeepMind is seeking roboticists, designers, hardware and software engineers to push the boundaries of AI in the physical world. The role centers on building foundation models, such as VLA models, to enable direct robotic control with systems like Gemini Robotics.

You will collaborate across teams to advance agentic reasoning, real-world understanding, and continual learning. Candidates will contribute to research that spans simulation, real-world robotics, and scalable deployment with a

Qualifications

  • PhD or equivalent practical experience in CS or related field.
  • Experience publishing papers at major conferences (e.g., NeurIPS, ICML).
  • Experience working with simulators and robots.

Responsibilities

  • Design, implement, train, and evaluate large models and algorithms for robotic agents to make breakthroughs and unlock new robot capabilities.
  • Write software to implement research ideas and iterate quickly.
  • Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.
  • Work effectively with a large collaborative team with changing agendas to meet ambitious research goals.
  • Generate creative ideas, set up experiments, and test hypotheses to report and present research findings clearly and efficiently both internally and externally.

Skills

Research publications
Simulators & robots
Neural networks training

Education

PhD in Computer Science

Tools

Python programming

Job description

Google DeepMind is seeking roboticists, designers, hardware and software engineers to push the boundaries of AI in the physical world. The role centers on building foundation models, such as VLA models, to enable direct robotic control with systems like Gemini Robotics.

You will collaborate across teams to advance agentic reasoning, real-world understanding, and continual learning. Candidates will contribute to research that spans simulation, real-world robotics, and scalable deployment with a

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