Google Software Engineer, Science AI, Research

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Job Details

Posted date: Jan 20, 2026

Location: Seattle, WA

Level: Senior

Estimated salary: $171,500
Range: $141,000 - $202,000


Description

Work with PM/UX/Engineering to build AI features for the Empirical Research Assistant. Craft end-to-end experiences and manage reliability/scaling/growth of the system. Participate in product development and engineering development, with fast-paced iteration.

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 has developed technologies to organize the world’s information, including data processing infrastructure, hardware, and artificial intelligence. Our goal is to use this information technology advantage to create scientific breakthroughs, focusing in particular on areas where we both have a comparative advantage, and where the breakthroughs are most likely to improve people's lives. Detailed Northstar document explaining our mission: go/science-ai-northstar

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.



Qualifications

Minimum qualifications: Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in Python. Experience with front-end technologies (e.g., Angular, React, Typescript). Experience in managing and debugging cloud systems (e.g., monitoring, logging, tracing). Experience surfacing Artificial Intelligence/Machine Learning (AI/ML) features in Angular.

Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 3 years of experience building and architecting large-scale, production quality ML systems. 2 years of experience with ML/AI algorithms and tools, Large Language Models (LLMs) or other multimodal foundation models, and natural language processing.

Extended Qualifications

Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in Python. Experience with front-end technologies (e.g., Angular, React, Typescript). Experience in managing and debugging cloud systems (e.g., monitoring, logging, tracing). Experience surfacing Artificial Intelligence/Machine Learning (AI/ML) features in Angular.

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