Research Engineer, Astra, DeepMind

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

Job summary

Google DeepMind is seeking a Share Research Engineer to advance our Astra project in London. This role blends research with engineering to build scalable agentic AI systems and evaluate new capabilities within a full-stack prototype.

You will work with cross-disciplinary teams, contribute to large-scale experiments, and help accelerate high-impact product ideas while publishing insights with the broader research community.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 2 years of experience conducting research or engineering systems.
• 2 years of experience building in Python.
• 2 years of experience with agentic AI workflows, frameworks, and approaches.

Responsibilities

• Contribute to building a full-stack Universal Assistant prototype across key workstreams, including agent infrastructure, multi-agent systems, and full-stack integration.
• Guide model inference, optimization, fine-tuning, and evaluation to improve system capabilities and reliability.
• Support data workflows through synthetic data generation and prompt optimizations.
• Collaborate with partner teams across DeepMind, including the Gemini and Gemini App teams, to integrate and evaluate new agentic capabilities.

Skills

Python

Research experience

Engineering systems

Agentic AI frameworks

Education

Bachelor's degree in Computer Science, Machine Learning, or related field

Job description

Share Research Engineer, Astra, DeepMind

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corporate_fare DeepMind place London, UK

Share Research Engineer, Astra, DeepMind

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• Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 2 years of experience conducting research or engineering systems.
• 2 years of experience building in Python.
• 2 years of experience with agentic AI workflows, frameworks, and approaches.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Machine Learning, or a related field.
• Experience with data collection, model fine-tuning, and evaluation.
• Experience with inference optimization techniques or extensive prompt tuning.
• Track record of publication at leading conferences on the topic of agentic AI and multimodal LLMs.

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.

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 building a full-stack Universal Assistant prototype across key workstreams, including agent infrastructure, multi-agent systems, and full-stack integration.
• Guide model inference, optimization, fine-tuning, and evaluation to improve system capabilities and reliability.
• Support data workflows through synthetic data generation and prompt optimizations.
• Collaborate with partner teams across DeepMind, including the Gemini and Gemini App teams, to integrate and evaluate new agentic capabilities.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.