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Research Engineer, Gemini Information Retrieval, DeepMind

Google· DeepMind
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Hybrid (Mountain View, CA; San Francisco, CA)$174k - $252kFull-timePosted 1w ago

About the role

Research-focused software engineering role at Google DeepMind focusing on Gemini Information Retrieval, with responsibilities spanning analysis, experimentation, and deployment of ML models and research innovations at scale.

Responsibilities

  • Uncover opportunities in the intersection of Gemini, Search, factuality, continual learning, deep research, and more.
  • Analyze models and model-driven products beyond current leaderboards; understand the problem space and create new ways to measure ideal behavior.
  • Use findings to create practical interventions to improve models across all downstream surfaces.
  • Collaborate with product teams (e.g., Search, YouTube) to scale research into production environments.

Qualifications

  • PHD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical field, or equivalent practical experience.
  • 5 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR).
  • 3 years of experience with software engineering in one or more programming languages or frameworks (e.g., Python, C++, JAX, PyTorch), including experience implementing multi-stage training pipelines or algorithms.

Skills

Required:Large Language Models (LLMs)Information Retrieval (IR)Software engineering

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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