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Research Scientist, User Signals from Agentic Logs, DeepMind

Google· DeepMind
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ZürichFull-timePosted 3d ago

About the role

Research Scientist role within the Gemini User Signals team at Google DeepMind, focusing on post-training strategies, reward modeling, and data-centric methods to convert user interactions and feedback into training signals for model alignment across modalities.

Responsibilities

  • Design and implement mechanisms to harvest, filter, and utilize high-quality user signals to iteratively improve Gemini models.
  • Develop and refine reward models and critique models for RLHF and alignment techniques.
  • Create and validate horizontal post-training recipes across different model sizes and modalities (text and audio).
  • Investigate methods for weighting, synthesizing, and selecting data to maximize impact of user signals on model performance.
  • Establish evaluation frameworks to measure correlation between offline metrics and online user satisfaction.

Qualifications

  • PhD in Machine Learning, natural language processing, or a related field (or equivalent practical experience).
  • Experience with software development using Python and one or more deep learning frameworks (e.g., PyTorch or JAX).
  • Research experience in post-training, reinforcement learning (RL), agentic RL, preference learning, or reward modeling.
  • First-author (or co-author) publication in peer-reviewed ML/NLP conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Skills

Required:Machine LearningNatural Language ProcessingReinforcement LearningReward Modeling
Nice to have:Data-Centric ML
Last updated Oct 23, 2026. Interested? Apply on the company site.

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