Research Scientist, Gemini Tool Use, DeepMind
Job Description
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
The Data Center Electrical Engineer (EE) is responsible for the technical support of the localized design effort (Campus Plan through to Detailed Design), for field engineering support through project delivery and commissioning, and for engineering reviews of the close out documentation. In addition, and depending on the Campus activities, the EE is responsible for supporting the electrical design and delivery on Moves, Adds, Retrofits, Changes, Upgrades and Security projects (MARCUS) within operational data centers. The EE is responsible for liaising with the Data Center Operations (DC Ops) team on all electrical warranty issues.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Denmark: kr.820000 - kr.845000 (DKK) + 15% bonus target + equity + benefits
Learn more about benefits at Google. Responsibilities
- Work on Post training for Gemini Tool-use and Agents.
- Author research papers to share and generate impact of research results across organizations and in the research community.
- Contribute to research growth by sharing research trends and best practices within the community, reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.
- Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation, while identifying timelines and securing resources needed.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators and own the long-term research strategy and plans to expand the impact of Google research.
Qualifications Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 6 years of experience with research agendas across multiple teams or projects.
- Experience implementing core AI algorithms or concepts.
- Experience in software engineering, technically involved in coding, code reviews, design discussions and reviews.
- Experience with Large Language Models, Natural Language Processing (NLP) or Generative AI.
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as Physical Review, AAAS, Nature and npj, etc.).
Preferred qualifications:
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience.
- 4 years of experience leading multiple research efforts and influencing research direction.
- 2 years of coding experience.