Ngân Vũ

DeepMind Science Product Manager

London, England, United Kingdom

About

Product Manager and former Research Engineer specializing in the 0-to-1 application and productization of frontier AI research. Spearheaded the transformation of multiple fundamental breakthroughs from Google DeepMind into high-impact launches and flagship technologies across Alphabet. Proven track record of delivering "world-first" AI applications in large-scale model training, silicon design, compiler optimization, and global cloud scheduling. Experienced in bridging broad, long-term portfolio strategy with deep, fast-execution technical implementation to drive innovation across Alphabet’s emerging technology landscape.

Experience

  • Google DeepMind (Full-time · 7 yrs)
    • Product Manager, Science Agents
      Jan 2024 - Present · 2 yrs 7 mos

      Founding Product Manager of the Science unit. AlphaEvolve co-first author, founding PM, and team lead. Grew AlphaEvolve from a DeepMind research tool to a practical algorithm factory that enabled impact across Google, from TPU design to XLA compiler and Gemini training. AlphaEvolve is featured by Sundar Pichai in the first minute of Google I/O 2025, and powers one of three Gemini for Science products announced by Demis Hassabis at Google I/O 2026. Leading productization across three distinct surfaces: first-party tool for Googlers, enterprise API via Google Cloud, and consumer UI via Google Labs. Founding PM of AlphaProof VSCode Extension, accompanying the AlphaProof Nature publication.

    • Research Engineer, Applied
      Jan 2022 - Aug 2024 · 2 yrs 8 mos

      AlphaZero for XLA compiler and chip design. First AI-designed circuits to be adopted in TPU (Ironwood), Pixel and Waymo chips. First place at IWLS 2023.

    • Software and Research Engineer, ML Infrastructure
      Aug 2019 - Jan 2022 · 2 yrs 6 mos

      Core developer of XManager (cloud scheduling for machine learning workloads) scaling from DeepMind team to all of Alphabet. Started as a software engineer focusing on infrastructure and became a research engineer focusing on leveraging DeepMind machine learning techniques to improve scheduling efficiency.

  • Research Assistant at Yale University School of Medicine
    Jan 2018 - May 2019 · 1 yr 5 mos

    Machine Learning for Biology at Krishnaswamy Lab.

  • Software Engineering Intern, Feed Machine Learning at Facebook
    May 2018 - Aug 2018 · 4 mos

    Built automation system for continual learning of News Feed ranking models.

  • Engineering Practicum Intern, Research and Machine Intelligence at Google
    May 2017 - Aug 2017 · 4 mos

    Built from scratch a 3D real-time and interactive simulator for localizing and beamforming algorithms for multi-microphone devices. Project was used to place microphones in Google Home devices and radars on Waymo cars. Somehow still active in 2025. Wrote guides on using threejs at Google.