Staff Software Engineer, Labs Science

• 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:

• AI
• API
• Architect
• Cloud
• Fine-tuning
• GCP
• Support
• Java
• JavaScript
• Kotlin
• LLM
• Machine Learning
• TypeScript
• UX UI Design
• Mobile
• Security
• Web

More:

We are Google Labs, an incubator for early-stage efforts focused on discovering and creating Googles next generation of AI products. Our small, product-driven teams move quickly to support Googles core mission, and the Language Applications team includes launches such as AI Studio, NotebookLM, and the Gemini API for developers. Within Labs Science, we partner with Google DeepMind to transform breakthrough research into user-centric products designed to accelerate scientific discovery. We offer the opportunity to work on high-impact projects within a fast-paced environment, with room to grow across teams and projects as our business evolves.

• 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 the Google Cloud Platform (GCP) and billing/infrastructure for compute-intensive workloads.