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Minimum qualifications:

+ PhD degree in Computer Science, a related field, or equivalent practical experience.

+ One or more scientific publication submission(s) for conferences (eg, CVPR/ECCV/ICCV/NeurIPS/ICLR), journals, or public repositories

+ Experience in AI/ML research and Generative AI agent development.

Preferred qualifications:

+ 4 years of experience in AI/ML research or agent development.

+ Experience with human-in-the-loop evaluation methodologies, including designing annotation/rating tasks and managing data quality.

+ Understanding of current AI agent architectures (e.g., LLM-based agents, reinforcement learning agents) and their evaluation issues.

+ Ability to have a proven track record of leading evaluation efforts for complex AI systems, particularly AI agents or interactive AI.

+ Familiarity with the unique tests of evaluating AI in health-related applications, such as safety, need for clinical validation etc.

+ Excellent programming skills with Python.

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.

Our mission is to help people in understanding and improving their health. Our team works towards this goal by developing innovative solutions like a personal health agent and new sensing and intelligence features for health and home across Google surfaces.

Google Health is a company-wide effort to help billions of people be healthier. We work toward this vision by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally – with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community.

The US base salary range for this full-time position is $141,000-$202,000 + 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 (https://careers.google.com/benefits/) .

+ Ensure robust and iterative evaluation of health features, establishing methods for continuous monitoring, feedback loops, and adaptation to new data or clinical insights.

+ Collaborate with cross-functional teams (research, engineering, product, clinical, legal, ethics) to define evaluation requirements, interpret results, and drive improvements in AI models and health applications.

+ Conduct in-depth analysis of AI agent behavior, identify failure modes, and provide actionable insights to improve model performance and safety.

+ Stay at the forefront of research in AI evaluation, particularly in areas of agent-based systems, human-AI interaction, and the specific issues of evaluating AI in consumer health and wellness.

+ Develop and advocate best practices, tools, and documentation for AI agent evaluation across health-related projects.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.