New job, posted less than a week ago!
Job Details
Posted date: May 22, 2026
Location: Kirkland, WA
Level: Director
Estimated salary: $253,500
Range: $207,000 - $300,000
Description
Author research papers to share and generate impact of research results across organization and in the research community. 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. Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research. Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll 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. From creating experiments and prototyping implementations to designing new architectures, our research scientists 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.
As a Research Scientist, you'll also 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.
Join a team of research scientists and engineers that are managing real world problems for Google to help AI transform the world!
The team tackles AI research challenges motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solve grand scientific and engineering challenges in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of high-impact problems with the goal of maximizing both scientific and real-world impact – both pushing the state-of-the-art in AI in top venues and collaborating across teams to bring innovations to production.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Qualifications
Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. 4 years of experience with research agendas across multiple teams or projects. Experience in one or more of the following programming languages: Java, C++ and Python. One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).Preferred qualifications: 2 years of experience in coding and leading multiple research efforts and influencing research direction. Extensive programming experience in Python, and deep learning frameworks like TensorFlow/Jax/Pytorch. Experience in one or more of the following areas: Natural Language Understanding , Machine Learning, Deep Learning, Algorithmic Foundations of Optimization , Data Mining, or Artificial Intelligence. Experience developing ML solutions for real world problems. Experience in deep learning, distributed training. Excellent communication skills.