Staff Research Scientist, Google Cloud AI

1 Month ago • 4-6 Years • Artificial Intelligence • Research & Development • $189,000 PA - $284,000 PA

Job Summary

Job Description

As a Staff Research Scientist at Google Cloud AI, you'll contribute to a portfolio of research projects spanning machine learning, data mining, natural language processing, and more. You'll design and execute large-scale experiments, prototype implementations, develop new architectures, and publish research findings. The role involves collaborating with internal and external teams, including universities and research institutes. Responsibilities include authoring research papers, identifying research areas, defining project parameters, and developing long-term research strategies. You'll also address technological gaps and work with stakeholders to find solutions. The position requires a PhD in Computer Science or a related field and extensive experience in research and coding.
Must have:
  • PhD in CS or related field
  • 4+ years research experience
  • Publication record
  • Coding proficiency (Python, etc.)
  • Lead research efforts
  • Define data structures, frameworks
Good to have:
  • 2+ years leading research
  • 2+ years Python coding experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • 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 submission(s) for conferences, journals, or public repositories.
  • Coding experience in Python, JavaScript, R, Java, or C++.

Preferred qualifications:

  • 2 years of experience in coding and leading multiple research efforts and influencing research direction.
  • 2 years of coding experience in Python, JavaScript, R, Java, or C++.

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 $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

  • 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.

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