Senior Staff Research Scientist, Google Cloud AI Research

Google Inc.; Sunnyvale (CA); On-site; USD 248,000 - 349,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Equity options

Job summary

A leading global tech company is seeking a Senior Staff Research Scientist in Sunnyvale, CA. The role involves advanced research in AI and infrastructure, authoring scientific papers, and collaborating with teams. Candidates should have a PhD in Computer Science and extensive experience in research projects. The position offers a competitive salary range of $248,000 to $349,000, plus bonuses and benefits, and requires strong leadership skills and the ability to define research strategies.

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.
• One or more scientific publication submission(s) for conferences or journals.

Responsibilities

• Author research papers to generate impact of research results.
• Contribute to research growth by sharing trends and best practices.
• Deliver projects by defining data structure and evaluation metrics.
• Identify new research areas and own long-term strategy.
• Engage stakeholders to address undefined problems in existing tech.

Skills

Research agendas

Scientific publication submissions

Collaboration with researchers

Experience with machine learning

Education

PhD degree in Computer Science or related field

Job description

Senior Staff Research Scientist, Google Cloud AI Research

corporate_fare Google place Sunnyvale, CA, USA

Apply

• PhD degree in Computer Science, a related field, or equivalent practical experience.
  
• 6 years of experience with research agendas across multiple teams or projects.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
  

Preferred qualifications:

• 4 years of experience leading multiple research efforts and influencing research direction.
  

About the job

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.

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.

The US base salary range for this full-time position is $248,000-$349,000 + 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 .

Responsibilities

• Author research papers to share and generate impact of research results across organization and in the research community.
  
• Contribute to research growth by sharing research trends and best practices within the community by 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. Identify timelines and obtain resources needed.
  
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of Google research.
  
• Identify undefined problems in existing technology and engage stakeholders and leaders to address them.
  

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.