Research Engineer, Applied Robotics
Research Engineer, Applied Robotics
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1 Vacancy
Job Description
Snapshot
The Google Deepmind Robotics MLFramework teams mission is to enable and accelerate cuttingedge robotics AI research and maximize research impact in the real world.
We achieve this by collaborating closely with top tier embodied AI researchers to tackle emerging challenges and push the boundaries of whats possible. We form partnership with top robotics players in the world and actively work with them to externalize our robotics research outcome. Our team works hand in hand with infrastructure experts in robotics and GDM to deliver innovative robust flexible and extensible software solutions that empower a wide array of research and partner projects.
The team is a core member of Google Deepmind Robotics which is a research team devoted to exploring how machine learning can revolutionize the world of robotics. Recent advances in Large Language Models and perception fueled by the deep learning revolution have made it possible to envision autonomous robots that acquire a deep understanding of their environment through sensing and learning. This requires new scalable approaches to learning in the physical world as well as safe and data efficient approaches to continuously improving sensorimotor skills which will ultimately enable autonomous agents to safely act in humancentered environments.
See this blog post and tech landing page to learn more about Robotics teams recent research advances and our plan of accepting sign up of trusted testers.
About us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The role
As a Research Engineer in the Applied Research team you will build infrastructure that enables partners to access our model development pipeline and deploy our latest AI robotics models to their applications. You are insightful and innovative proactively identifying needs and bottlenecks while proposing and iteratively crafting solutions with the team. You serve as the nexus between the robotics team and our partnerscollaborating with crossfunctional colleagues providing engineering insights into research projects and translating partners application needs into effective tool development.
Key responsibilities
- Work close with robotics partners and trusted testers to bring stateoftheart Gemini robotics models to realworld 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 GDMwide infrastructure teams to define short and longterm infrastructure roadmaps.
About you
Minimum Qualifications:
- 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 colleaguesalways focused on delivering value in realworld applications.
Preferred Qualifications:
- Bachelors Masters or Ph.D. degree in Computer Science a related technical field or equivalent practical experience.
- Experience in fullstack development for production applications including scoping design implementation testing debugging release and deployment.
- Proven ability to apply robotics ML/AI research to realworld problems and demonstrate tangible impact.
- Collaborating experience with cross functional and cross organizational teams.
Employment Type
Full Time
