
Mountain View, California, United States of America
10K+ Employees
Software Engineer, Model Lifecycle Engineering, Robotics, DeepMind
Location not specified
Job Description
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists.
Your Responsibilities
will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.
As a part of the Model Lifecycle Engineering team at Google DeepMind Robotics, you will play a critical role in the mission to solve Artificial General Intelligence (AGI) in the physical world. You will develop and maintain scalable platforms to train, evaluate and deploy Gemini Robotics models by enabling researchers and Gemini Robotics trusted testers to iterate quickly and efficiently and accelerate the pace of innovation in robotics research.
You will contribute to building the future of robot learning and will work closely with research scientists, engineers, operations, Gemini Robotics trusted testers partners, and other stakeholders across Google DeepMind to develop and optimize the infrastructure that powers robotics research and enables partners to use models.
You will be responsible for developing and maintaining the end-to-end software platform for robotics operations, data collection, visualization, benchmarking, and engagement with Gemini Robotics partners.
About Google
Google, LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.
Job overview
Experience level
Mid Level
Work type
On Site
Department
Engineering
Financials
Type
public
Annual Revenue
$1B-$10B
Market Cap
--
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