Staff Software Engineer, Labs Science

Google Inc.; Greater London; On-site; GBP 140,000 - 210,000; Full time

Job summary

Google Inc. is seeking highly skilled software engineers to join our team in London, tackling large-scale systems, AI, and data-driven challenges. You will own outcomes, influence stakeholders, and work across full-stack architectures.

Ideal candidates bring 8+ years of experience in C++, Java, Kotlin, and Typescript, with ML familiarity and a track record of shipping product features at scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of full-stack software development in C++, Java, Kotlin and Typescript.
• 3 years in frontend frameworks, full-stack development, or API development.
• 1 year in software design, architecture, and ML.
• 1 year in agentic coding.

Responsibilities

• Partner with Google DeepMind to translate GenAI research into products.
• Architect and build new products from the ground up, moving prototypes to production.
• Design and implement agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements.
• Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases.
• Work closely with Product Managers and UX partners to discover user needs and iterate on features that genuinely delight the scientific community.

Skills

Full-stack

C++

Java

Kotlin

Typescript

Frontend frameworks

Education

Bachelor's degree

Master's or PhD

Tools

GCP

APIs

Job description

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in full-stack software development using languages such as C++, Java, Kotlin, and Typescript.
• 3 years of experience with front-end frameworks, full-stack development, or API development.
• 1 year of experience with software design, architecture, and machine learning.
• 1 year of experience with agentic coding.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• Experience working in a research-adjacent environment, translating SOTA models into product features.
• Familiarity with the Google Cloud Platform (GCP) and billing/infrastructure for compute-intensive workloads.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Labs incubates early-stage efforts to discover and create Google’s next generation of AI products. Our small, product-driven teams focus on rapid innovation to support Google’s core mission. The Language Applications team manages a portfolio, including high-profile launches such as AI Studio, NotebookLM and the Gemini API for developers.
Labs Science is a new initiative within Language Applications. In partnership with Google DeepMind (GDM), we transform breakthrough research—such as Co-Scientist and AlphaEvolve—into user-centric products designed to accelerate the pace of scientific discovery.

Responsibilities

• Partner with Google DeepMind to translate breakthrough GenAI research assets like Co-Scientist and AlphaEvolve into intuitive products that accelerate scientific discovery.
• Architect and build entirely new products from the ground up, moving rapidly from prototypes to production-ready services in a changing environment.
• Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements.
• Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases.
• Work closely with Product Managers and UX partners to discover user needs and iterate on features that genuinely delight the scientific community.

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.