Research Scientist, Health AI - Google

Mountain View, CA

About the Job

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Atlanta, GA, USA.

Minimum qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Experience in Natural Language Processing, Machine Learning, or Large Language Models.

Preferred qualifications:

2 years of experience coding in Python, R, Java, or C++.
1 year of experience owning and initiating research agendas.
Experience in the medical domain.
Experiences with Large Language Model Development.

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.

Health AI is an impact-driven research team whose mission is to catalyze the adoption of human-centered AI in healthcare and medicine. The team sees AI as transformational in these fields and a necessary component in improving quality and consistency of health outcomes, realizing personalized medicine. Health AI does research partnering with other Google product teams or external organizations to develop, assess, and deploy AI-powered breakthrough solutions that redefine the relationship between tech and health. The team manages foundational research and product work that improves the lives of users.

The US base salary range for this full-time position is $136,000-$200,000 + 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 benefits at Google.

Responsibilities

Work in a diverse team who are passionate about improving healthcare.
Manage data analysis/curation, developing the necessary infrastructure to do research, performing experiments, and detailed evaluations from a research or product perspective, collaborate with onsite clinicians, product managers, and other research/engineering teams in Google Research, and partner teams in Search, YouTube, and Gemini.
Develop and improve AI models on challenging health-related tasks, such as grounding and medical factuality, automated clinical evaluations, video/audio understanding, multi-turn discussions on consumer health topics, and more.
Build and improve AI research infrastructure by ingesting new datasets, collecting and analyzing high-quality data, and maintaining training and evaluation infrastructure.
Perform research on health-related problems, with potential to publish externally.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Source : Google