Research Engineer, Astra, DeepMind

Google
London, UK
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Systems Engineering Python (Programming Language) Machine Learning Large Language Models Multi-Agent Systems Information Technology Optimization Algorithms Data Generation

Job description

  • 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.

Requirements

  • 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 company

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., 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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

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