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Minimum qualifications:

+ PhD degree in Computer Science, Machine Learning, Electrical Engineering, a related field, or equivalent practical experience.

+ Experience in Machine Learning and Deep Learning using modern machine learning packages (e.g., JAX, TensorFlow).

+ Experience in one or more of the following languages: Python, C/C++, Java.

Preferred qualifications:

+ Industry experience in end-to-end system building, deploying, and maintaining AI/ML models in production in the health/medical domain.

+ Experience with large-scale semi-supervised learning and transfer learning.

+ Experience in signal processing and filtering techniques for bio-signals (e.g., PPG, ECG, audio).

+ Experience in contributions to research communities/efforts, including publishing papers in scientific journals or conferences.

+ Experience with embedded devices and sensors.

+ Understanding of human physiology.

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.

We are part of the Health and Home Intelligence (H2O AI) team. Our mission is to develop AI-driven health sensing tech and applications that leverage the global ubiquity of smartphones, wearables, and smart home devices to make a positive difference to people’s health and wellness.

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/) .

+ Design, implement and validate advanced AI/ML algorithms for novel sensing applications and insights generation in consumer healthcare.

+ Build data pipelines, modeling, evaluation and analysis platforms to transform research prototypes to production models for deployment. Optimize models to ensure robust generalization in real-world deployment.

+ Work cross-functionally with clinical, biostatistics, and product to design clinical validation studies.

+ Create high-quality software artifacts and documents. Publish in scientific journals or conferences.

+ Scope and surface new and upcoming research areas for novel exploration related to AI in healthcare.

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.