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Updated 2026-06-10 16:00 UTC·© 2025–2026 RoleSuite
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AI Research Scientist, Applied AI, Google Cloud

Google · Sunnyvale, CA, USA

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda.
  • 2 years of experience with machine learning algorithms and tools, or Applied ML (e.g., LLM's, Generative AI, NLP, Recommendations).
  • Coding experience in Python, JavaScript, R, Java, or C++.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

  • 2 years of coding experience.
  • 1 year of experience leading research efforts and influencing other researchers.
  • Experience developing and deploying AI solutions to solve large-scale problems.
  • Experience implementing genAI tools, AI agents, multi-agent systems, or advanced automation strategies in enterprise environments.
  • First-hand knowledge and practical experience with the entire product development process, from initial ideation and research to prototyping, testing, and final implementation.
  • Ability to articulate technical concepts and influence technical directions.
Apply →

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