Research Engineer, Humanoids, DeepMind at DeepMind

Job description

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve complex issues. What we do: • Build foundation models • Advance the state of the art • Deploy at scale As a Research Engineer, you will manage the practical issues of a growing fleet of robots. You will have experience working with complex systems, the ability to build introspection tools, and debug issues across the system. You will build and maintain critical infrastructure to standardize and strengthen robot platforms to accelerate research. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Design, develop, and maintain robotic setups for continuous robot learning experiments. • Collaborate with partner teams to co-develop infrastructure, tooling, and processes, to accelerate robot learning research. • Develop and maintain verification methods for a fleet of robots. • Work with cross-functional teams in a dynamic environment, quickly prototype, iterate, and deliver robot capabilities in real-world applications. • Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work. • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. • 2 years of experience in robotics, specifically with developing and maintaining robot software systems. • Experience using ML Frameworks, specifically JAX. Minimum qualifications: • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. • 2 years of experience in robotics, specifically with developing and maintaining robot software systems. • Experience using ML Frameworks, specifically JAX. Preferred qualifications: • Experience of applying ML methods in the context of robotics, and follows the latest state-of-the-art research in Foundation Models. • Proven track record of owning technical problems and debug complex systems end-to-end. • Python and C++ programming skills. • Passion for AI and wants to work in a fluid team trying to connect Gemini-intelligence to physical robots.

Requirements

Must-haves

At DeepMind Robotics, we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve complex issues.
Build foundation models
Advance the state of the art
Deploy at scale
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Design, develop, and maintain robotic setups for continuous robot learning experiments.
Collaborate with partner teams to co-develop infrastructure, tooling, and processes, to accelerate robot learning research.
Develop and maintain verification methods for a fleet of robots.
Work with cross-functional teams in a dynamic environment, quickly prototype, iterate, and deliver robot capabilities in real-world applications.
Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work.
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
2 years of experience in robotics, specifically with developing and maintaining robot software systems.
Experience using ML Frameworks, specifically JAX.
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
2 years of experience in robotics, specifically with developing and maintaining robot software systems.
Experience using ML Frameworks, specifically JAX.

Nice-to-haves

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Experience of applying ML methods in the context of robotics, and follows the latest state-of-the-art research in Foundation Models.
Proven track record of owning technical problems and debug complex systems end-to-end.
Python and C++ programming skills.
Passion for AI and wants to work in a fluid team trying to connect Gemini-intelligence to physical robots.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpython

Platform: google
Effort: medium