Lead Multi-Agent Learning Research Engineer

Google LLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google DeepMind in London seeks a Research Engineer for Multi-Agent Learning to advance novel algorithms and scalable frameworks. You will build experiments, prototypes, and production-quality code while collaborating with researchers across the globe.

The role emphasizes mentoring junior engineers, partnering with Research Scientists, and contributing to robust research pipelines on DeepMind's cutting-edge infrastructure, including TPU pods.

Qualifications

• Experience in multidisciplinary research, guiding, and mentoring.
• Machine Learning experience.

Responsibilities

• Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in JAX.
• Build and maintain simulation platforms and end-to-end research pipelines to run experiments on DeepMind's cutting-edge infrastructure, including massive TPU pods.
• Partner with Research Scientists to transform mathematical concepts and research hypotheses into robust, production-quality code and reproducible experiments.
• Lead the engineering direction for complex research projects, establishing best practices for code quality and maintainability, and mentoring junior engineers on the team.
• Optimize every part of the research workflow, from data processing and model training to results analysis, to accelerate the pace of discovery.

Skills

Machine Learning experience

Education

PhD in Computer Science

Job description

Google DeepMind in London seeks a Research Engineer for Multi-Agent Learning to advance novel algorithms and scalable frameworks. You will build experiments, prototypes, and production-quality code while collaborating with researchers across the globe.

The role emphasizes mentoring junior engineers, partnering with Research Scientists, and contributing to robust research pipelines on DeepMind's cutting-edge infrastructure, including TPU pods.