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Staff Research Engineer, Applied ML

A leading technology company that specializes in internet-related services and products.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI

Job Description

Join Google's Domain Applied ML (DAML) team as a Staff Research Engineer in London, where you'll lead a new applied ML team bridging cutting-edge research with real-world applications. As part of Core ML, DAML's mission is to accelerate AI adoption across Google by partnering with Google Research and DeepMind to translate breakthroughs like Gemini into standardized, efficient solutions.

In this role, you'll serve as the technical anchor for your team, combining leadership responsibilities with hands-on research and coding. Your focus will be on emerging areas including generative AI and multi-agent systems, working to deliver measurable impact on major Google products such as Search, YouTube, and Waymo.

The position requires deep expertise in applied machine learning, with emphasis on taking projects from research through to production. You'll work with state-of-the-art ML frameworks and infrastructure, while having the opportunity to publish in top conferences and contribute to open-source projects. The role offers a unique combination of research innovation and practical impact, working at the intersection of Google's research and product teams.

As a technical leader, you'll guide research directions, mentor team members, and shape the technical roadmap through collaboration with stakeholders across Google. The role demands both technical excellence and the ability to translate complex concepts into actionable plans and user value. This is an opportunity to work at the forefront of AI technology while having a direct impact on products used by billions of people.

Last updated 10 days ago

Responsibilities For Staff Research Engineer, Applied ML

  • Act as the technical expert for a small, high-impact team. Guide research directions and mentor team members through your own direct contributions
  • Lead the end-to-end research process, from defining novel problems and prototyping solutions to publishing results and partnering with product teams to ship features
  • Shape and execute the team's technical roadmap by collaborating with stakeholders in Google Research, DeepMind, and product areas
  • Utilize and advance cutting-edge techniques on Google's infrastructure
  • Research and product by translating complex technical concepts into actionable plans and user value

Requirements For Staff Research Engineer, Applied ML

Python
  • Bachelor's degree or equivalent practical experience
  • 8 years of experience in applied machine learning, including leading projects from research to production
  • Experience building and leading engineering or research teams
  • Experience in Python and ML frameworks like JAX, TensorFlow, or PyTorch
  • One or more publications in top-tier ML/AI conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR)

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