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Staff Research Engineer, Applied AI, DeepMind

Google· DeepMind
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Mountain View, CA$207k - $300kFull-timePosted 1mo ago

About the role

Staff Research Engineer role at DeepMind focused on leading development and deployment of novel applications leveraging Google’s generative AI models, translating AI research into real-world products, and shaping AI deployment best practices.

Responsibilities

  • Partner closely with multiple external parties and internal cross-functional teams to navigate ambiguity, deeply understand real-world issues, and define clear product objectives and technical designs.
  • Drive the curation of specialized datasets, design evaluations across industry verticals, and execute model fine-tuning to achieve optimal real-world performance.
  • Lead the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build sophisticated agents and workflows powered by DeepMind foundation models.
  • Synthesize and upstream learnings from third-party partners to core research teams, by sharing real-world evaluations, edge cases, and deployment signals, which can inform the development of future frontier models.
  • Act as a technical leader in the applied AI space, setting best practices for generative AI deployment and demonstrating the peak capabilities of frontier models in solving high-impact problems end-to-end.

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of software development experience, including system design, data structures, and algorithms.
  • 5 years of experience building, training, and deploying machine learning models into production environments.

Skills

Required:Generative AI / LLMsML system architectureCommunication and cross-functional collaboration

Benefits

  • Learn more about benefits at Google (link provided in description)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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