Staff Research Engineer, Applied ML

The Domain Applied ML (DAML) team at Google is seeking a Staff Research Engineer to lead a new applied ML team in London. This role bridges cutting-edge research from Google Research and DeepMind with real-world applications. As the technical anchor, you'll guide a small team while actively engaging in experimentation and coding. The position focuses on emerging areas like generative AI and multi-agent systems, working to impact major products including Search, YouTube, and Waymo.

The role requires deep expertise in applied machine learning, with a proven track record of leading projects from research to production. You'll work with advanced ML frameworks and technologies, focusing on areas like parameter-efficient tuning (PET), multimodal modeling, and agentic systems using models like Gemini. The position demands both technical excellence and leadership skills, as you'll be responsible for mentoring team members and driving research directions.

This is an opportunity to work at the forefront of AI technology, translating theoretical breakthroughs into practical applications that affect billions of users. You'll collaborate with world-class researchers and engineers across Google Research and DeepMind, while having the autonomy to shape the technical direction of your team. The role offers the chance to contribute to significant publications and make meaningful impacts on Google's core products.

The ideal candidate combines strong technical skills in machine learning with the ability to lead and mentor others. You'll need to balance hands-on technical work with strategic thinking, ensuring your team's research translates into tangible product improvements. This position offers the unique opportunity to work on cutting-edge AI technology while directly influencing Google's product development.