Mid-Level Research Engineer, Applied Robotics
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Mid-Level Research Engineer, Applied Robotics
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Google DeepMind is a team dedicated to advancing artificial intelligence for public benefit and scientific discovery. As a Research Engineer in the Applied Research team, you will build infrastructure to enable partners to access AI robotics models and collaborate with robotics partners to implement these models in real-world applications.
Responsibilities:
• Work close with robotics partners and trusted testers to bring state-of-the-art Gemini robotics models to real-world applications.
• Explore, implement and optimize model flywheel recipes that enables robotics partners and trusted testers to develop customized models and applications using Gemini Robotics models.
• Build and maintain flexible and easy to use model development pipelines for trusted tester to develop robotics customized models and applications with of Gemini Robotics models.
• Analyze, identify, and resolve system bottlenecks while tackling novel engineering challenges across the full system stack.
• Collaborate with robotics and GDM-wide infrastructure teams to define short- and long-term infrastructure roadmaps.
Qualifications:
Required:
• Passionate about robotics and foundational models, with a strong desire to accelerate the application of Gemini robotics models in collaboration with external partners.
• Experience with Google and DeepMind frameworks for model training, evaluation, workflow management, and data processing, or experience with development on Google Cloud and One Platform.
• Solid Python and C++ programming experience in a production environment.
• A team player with a product mindset, a willingness to learn, and the ability to work closely with research and product colleagues—always focused on delivering value in real-world applications.
Preferred:
• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience in full-stack development for production applications, including scoping, design, implementation, testing, debugging, release, and deployment.
• Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
• Collaborating experience with cross functional and cross organizational teams.
Company:
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. Founded in 2010, the company is headquartered in London, England, GBR, with a team of 501-1000 employees. The company is currently Late Stage.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Medical insurance
Vision insurance
401(k)
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