The Google Deepmind Robotics ML-Framework team aims to enable and accelerate cutting-edge robotics AI research and maximize its impact in the real world by collaborating with researchers and external partners to deploy AI robotics models into real-world applications.
Requirements
- Experience with Google and Deepmind frameworks for model training, evaluation, workflow management and data processing, etc OR experience with development in Google Cloud and One platform.
- Solid python/C++ programming experience in production environment.
- Full-stack development with production applications, including scoping, design, implementation, testing, debugging, releasing, deployment, etc.
- Experience with applying robotics ML/AI research to real-world problems and demonstrating impact.
Responsibilities
- Build and maintain reliable, flexible and easy to use infrastructure for robotics partners and trusted testers to develop robotics customized models and applications with Gemini Robotics models.
- Analyze, identify and resolve system bottlenecks, tackle novel engineering challenges throughout the full system stack.
- Collaborate with robotics and GDM-wide infrastructure teams to define short and long-term infra roadmaps.
- Build infrastructure to enable partners to access our model development pipeline.
- Deploy our latest AI robotics models to partners applications.
- Propose and craft solutions iteratively with the team.
- Provide engineering insights into research projects.
Other
- Work closely with robotics partners and trusted testers to bring state of the art Gemini robotics models to real world applications.
- Passionate about robotics and foundation models.
- Eager to accelerate application of the Gemini robotics models working with external partners.
- A team player with product mindset, willingness to learn, work with research and product colleagues, focus on delivering value in real world applications.
- Collaboration experience with cross functional and cross organizational teams.
