Research Scientist: Human Data for Robotic Intelligence

Research Scientist: Human Data for Robotic Intelligence

Full-Time No working from home possible
WeAreTechWomen

At a Glance

  • Tasks: Design and deploy large-scale robotic models using advanced AI techniques.
  • Company: Join Google DeepMind, a leader in AI research and innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to publish your research.
  • Why this job: Make a real impact on the future of robotics and AI technology.
  • Qualifications: Strong background in AI, robotics, and data analysis required.

Google DeepMind is seeking a Research Scientist to design, train, and deploy large-scale robotic models that span reinforcement learning, imitation learning, and multimodal sensing. You will contribute to transitions from lab experiments to real-world robotic systems, applying cutting-edge AI research to production-like challenges.

You'll collaborate with interdisciplinary teams, publish findings, and help push the boundaries of AI for robots, with a focus on scalable data sources and real-world applications.

Research Scientist: Human Data for Robotic Intelligence employer: WeAreTechWomen

At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.

WeAreTechWomen

Contact Details:

WeAreTechWomen Recruitment Team

We think you need these skills to ace Research Scientist: Human Data for Robotic Intelligence

Reinforcement Learning
Imitation Learning
Multimodal Sensing
AI Research
Robotic Systems
Data Analysis
Interdisciplinary Collaboration