Senior Staff Research Scientist, Google Cloud AI

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

Job summary

A leading technology company is seeking a Senior Staff Research Scientist for their Cloud AI team in Sunnyvale, California. The role involves driving research initiatives, collaborating globally, and contributing to cutting-edge projects in AI applications across various industries. The ideal candidate will have a PhD in Computer Science and extensive experience in research leadership.

Qualifications

• 6 years of experience with research agendas across multiple teams.
• 4 years of experience leading research efforts.
• One or more scientific publication submission(s).

Responsibilities

• Author research papers to share findings.
• Identify new research areas and engage collaborators.
• Deliver full projects by defining metrics and timelines.

Skills

Research agendas

Machine learning

Data mining

Natural language processing

Scientific publication

Education

PhD degree in Computer Science or related field

Job description

Senior Staff Research Scientist, Google Cloud AI

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 Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

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.