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Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Google· DeepMind
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Hybrid (Mountain View, CA; San Francisco, CA)$174k - $252kFull-timePosted 4d ago

About the role

Research Engineer role focused on building and evaluating personalization features for the Gemini App, within Google DeepMind, contributing to a multimodal, large-context AI assistant.

Responsibilities

  • Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
  • Perform data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities.
  • Propose and implement targeted quality improvements via fine-tuning or prompting.
  • Develop robust evaluation techniques (automated and human-in-the-loop) to assess and hill-climb on personalization quality.
  • Partner closely with research scientists, engineers, and cross-functional partners (product and program managers) to advance business goals.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), recommender systems, deep learning, or personalization.
  • 3 years of experience with software development in either Python or C++.

Skills

Required:Software developmentMachine learningPython or C++
Last updated Oct 23, 2026. Interested? Apply on the company site.

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