Summary
Google DeepMind are looking for a highly motivated and innovative Research Engineer to join their team in Tokyo, focused on building state-of-the-art multimodal embodied agents. You will work with researchers and engineers to develop general-purpose agents capable of perceiving, reasoning, planning, and executing precise real-time actions in complex, open-ended environments.
About the Role
As a Research Engineer at Google DeepMind, you will contribute to the development of Gemini-powered embodied agents capable of autonomous progression and complex problem-solving. We believe that rich virtual environments provide the ideal pressures to develop robust skills in reasoning, memory, and motor control. You will use these domains to research how agents can learn from demonstrations and experiences, and adapt their strategies in real-time.
Accountabilities
- Agent Architecture & Control: Develop and optimize state-of-the-art agent architectures that seamlessly integrate multimodal perception, reasoning, and precise real-time execution.
- Scalable Learning: Build and scale training recipes utilizing supervised fine-tuning, reinforcement learning, imitation learning, and/or in-context learning.
The Candidate we're looking for
Experience:
- Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Technical skills:
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
- Strong programming skills in Python and experience with large-scale data pipelines.
Personal attributes:
- Excellent communication and collaboration skills.
Benefits
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
