**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. 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. **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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.