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Staff Research Engineer, Applied ML

A leading global 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. You'll serve as the technical anchor for your team, combining hands-on research and coding with leadership responsibilities. The role focuses on emerging areas including generative AI and multi-agent systems, directly impacting major products like Search, YouTube, and Waymo.

Your work will involve guiding a small team while maintaining significant involvement in technical work, from prototyping to production deployment. You'll collaborate with world-class researchers and engineers, publishing in top conferences while delivering practical impact. The position requires expertise in Python and modern ML frameworks, with opportunities to work on parameter-efficient tuning, multimodal modeling, and agentic systems.

This role offers a unique opportunity to shape the future of AI at Google, combining research excellence with real-world impact. You'll work with state-of-the-art models and infrastructure while building bridges between research innovations and product applications. The position demands both technical depth and leadership skills, making it ideal for someone passionate about advancing the field of machine learning while delivering tangible results.

Last updated 3 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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