About this role
Salary: £61,000 - 101,000 per year
Requirements: 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.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 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. Technologies: AIAPIArchitectCloudFine-tuningGCPSupportJavaJavaScriptKotlinLLMMachine LearningTypeScriptUX UI DesignMobileSecurityWeb More:
hackajob is partnering directly with Google to hire for this role. Googles software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 AI Studio, NotebookLM and the Gemini API for developers. Labs Science is a new initiative within Language Applications, and in partnership with Google DeepMind, we transform breakthrough research into user-centric products designed to accelerate the pace of scientific discovery. This role offers opportunities to work on a specific project critical to Googles needs and to switch teams and projects as our fast-paced business grows and evolves. We need engineers who are versatile, display leadership qualities, and are enthusiastic about taking on new problems across the full stack as we continue to push technology forward.
last updated 39 week of 2026