Staff Research Engineer, Applied ML

Minimum qualifications:

• 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).

Preferred qualifications:

• Master's degree in Computer Science, a related technical field, or equivalent practical experience.

About the job

The Domain Applied ML (DAML) team is a high-impact group within Core ML. Our mission is to accelerate the adoption of state-of-the-art AI across Google. We partner with Google Research and DeepMind to translate their breakthroughs (like Gemini) into standardized, efficient solutions. By addressing issues from 0-to-1 prototyping to 1-to-10 scaling, we allow Google’s product areas to innovations with massive quality, performance, and productivity gains.

As a Staff Research Engineer, you will lead a new applied ML team in London, bridging the gap between cutting-edge research from Google Research and DeepMind and its real-world application. You will act as the team's technical anchor, guiding a small group of researchers while dedicating significant time to your own experimentation and coding. Your work will focus on emerging areas like generative AI and multi-agent systems to deliver measurable impact on products like Search, YouTube, and Waymo.

As a Staff Research Engineer, you will lead a new applied ML team in London, bridging the gap between cutting-edge research from Google Research and DeepMind and its real-world application. You will act as the team's technical anchor, guiding a small group of researchers while dedicating significant time to your own experimentation and coding. Your work will focus on emerging areas like generative AI and multi-agent systems to deliver measurable impact on products like Search, YouTube, and Waymo.

Responsibilities

• 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 to identify and pursue high-impact opportunities.
• Utilize and advance cutting-edge techniques on Google's infrastructure. Your work will involve Python, JAX/TensorFlow, and focus on areas like parameter-efficient tuning (PET), multimodal modeling, and agentic systems using models like Gemini.
• Research and product by translating complex technical concepts into actionable plans and user value, while advocating research excellence through publications in conferences and open-source contributions.