Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Requirements
- Experience in machine learning methods including foundation models and Large Language Models (LLMs).
- Experience with Flume C++ and its low-level details.
- Knowledge of Google Infrastructure, including Borg and CNS.
Responsibilities
- setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
- creating experiments and prototyping implementations to designing new architectures
- work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
- actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
- Author research papers to share and generate impact of research results across organization and in the research community.
- Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators.
Other
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 4 years of experience with research agendas across multiple teams or projects.
- One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
- 2 years of experience in coding and leading multiple research efforts and influencing research direction.
- Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
