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 group within Core ML. Our mission is to accelerate the adoption of 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 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.The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
Responsibilities
Act as the technical expert for a small 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 opportunities.
Utilize and advance 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 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.