Research Engineer, Multi-Agent Learning, DeepMind

DeepMind; 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

Research Engineer, Multi-Agent Learning, DeepMind

corporate_fare DeepMind place London, UK

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

Preferred qualifications:

• PhD in Computer Science with a strong publication history.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.