Research Engineer, Multi Agent Learning, DeepMind
Tasks
- Analyze experimental results to accelerate discovery
- Build simulation platforms and research pipelines
- Contribute to multi agent learning algorithms and frameworks
- Establish best practices for code quality and maintainability
- Lead engineering direction for research projects
- Mentor junior engineers
- Optimize data processing and model training
- Partner with research scientists on production code and reproducible experiments
- Run experiments on TPU infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Algorithmic game theory | Autograd | C++ | Computational economics | Deep learning | Distributed Training | GPUs | Game theory | JAX | Just-in-Time | Just-in-time compilation | Matplotlib | Multi-Agent | Multi-Agent Reinforcement Learning | Multi-Agent Systems | NumPy | Pandas | PyTorch | Python | Reinforcement Learning | Scientific Computing | TPUs | XLA
Education
Roles
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