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DeepMindposted 5 days ago
$136,000 - $300,000/Yr
Full-time • Senior
Mountain View, CA
Publishing Industries

About the position

As part of the GenAI & NLX Research team at Google DeepMind, you'll have opportunities to advance Large Language Models (LLMs) to enable breakthrough capabilities, and pioneer next-generation products in collaboration with major product areas. Specifically, this position will work on LLM personalization and user intent understanding, including but not limited to foundational LLM capabilities on using personal/contextual information and on user intent understanding, foundation LLM training recipes including supervised fine-tuning and reinforcement learning, LLM reasoning, especially LLM reasoning for personalization and user intent understanding, and LLM personalization for some of Google's major AI applications.

Responsibilities

  • Identify impactful research problems, inspired by existing or future real-world needs.
  • Research novel solutions through related work studies, experimentation, and building prototypes and demos.
  • Verify the research ideas and apply them to LLM foundational models.
  • Work with other research and product teams to deliver the improved LLM capabilities to end users.

Requirements

  • Ph.D. in Computer Science or related quantitative field.

Nice-to-haves

  • Self-directed engineer/research scientist who can drive new research ideas from conception, experimentation, to deployment in a rapidly shifting landscape.
  • Strong academic background in machine learning, information retrieval, and natural language processing, including prior publication track record in top research conferences (NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, WSDM, SIGIR, WebConf, RecSys, etc.).
  • Outstanding technical leadership and communication skills to lead new research areas and multi-team cross-PA collaborations across geographical boundaries.
  • Prior experience with production-scale machine learning projects and systems: JAX, TensorFlow, or similar machine learning platforms.

Benefits

  • Enhanced maternity, paternity, adoption, and shared parental leave.
  • Private medical and dental insurance for yourself and any dependents.
  • Flexible working options.
  • Healthy food, an on-site gym, faith rooms, terraces, etc.

Job Keywords

Hard Skills
  • Computer Science
  • Large Language Modeling
  • Machine Learning
  • TensorFlow
  • User Information
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  • HCm9iO1p djvi2DfaC 5xlZXLOfzW4
  • herfvV0CUn uCBazHE4Z53
  • Q6Ti4Jo1v rgqCnxp7lP
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