Staff Software Engineer, Labs Science

慨正橡扯; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Google is seeking software engineers to build next-generation AI products that scale across billions of users. You will translate GenAI research into intuitive features, design complex agentic systems, and drive production-grade services with rapid prototyping and close collaboration with product and UX teams.

You will work on dynamic architectures and multi-step prompts, aiming to push the boundaries of AI through practical, user-centered solutions in a fast-paced environment.

Qualifications

• 8 years of full-stack software development experience with modern languages.
• 3 years of frontend, full-stack, or API development experience.
• 1 year in software design, architecture, and ML concepts.
• 1 year in agentic coding.

Responsibilities

• Collaborate with Google DeepMind to translate GenAI research into products.
• Architect and build new products from prototypes to production services.
• Design agentic systems and multi-step AI prompts for complex tasks.
• Establish metrics to measure model performance and drive improvements.
• Work with PMs and UX to identify user needs and iterate on features.

Skills

C++

Java

Kotlin

TypeScript

Education

Bachelor's degree or equivalent

Tools

Frontend frameworks

APIs

GCP

Job description

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 Googles 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 Googles next generation of AI products. Our small, product-driven teams focus on rapid innovation to support Googles 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 s such as Co-Scientist and AlphaEvolve into user-centric products designed to accelerate the pace of scientific discovery.

Minimum qualifications:

• Bachelors 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:

• Masters degree or PhD in Engineering, Computer Science, or a related technical field.
  
• Experience programming in TypeScript or JavaScript.
• 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.

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.