Senior Research Scientist, Foundational AI in Health

Senior Research Scientist, Foundational AI in Health

• Google
• Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• PhD degree in Computer Science, Biomedical Engineering, or related quantitative field.
• 2 years of experience with modern machine learning frameworks such as JAX, PyTorch, or Tensor Flow and distributed training on accelerators.
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

• 5 years of experience in machine learning research, foundation models (e.g. LLMs, VLMs, time-series foundation models), Generative AI, and coding experience in Python in a team-based environment.
• Experience modeling longitudinal or multimodal real-world data such as wearable sensor data, physiological signals, health records, imaging.
• Experience building data pipelines and experimentation systems for large, heterogeneous datasets.
• Experience designing evaluations, metrics, and controlled ablations that produce reproducible and defensible research results.

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 team generates novel health insights and builds foundation models (wearables and Electronic Health Records (EHR)) using large datasets from nationwide studies. We publish our research breakthroughs and partner cross-functionally to translate them into products that improve millions of lives. You will collaborate alongside researchers, engineers, and the Gemini team.

In this role, you will work at the intersection of foundational AI and health research. You will develop novel multi-modal model architectures, perform experiments, and apply advanced theories to build AI-native products. Partnering with product teams, you will advance foundational AI capabilities, publish research findings, and collaborate to enhance healthcare outcomes.

The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables.

We aim to make consumer health more personal, proactive, and actionable.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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 team generates novel health insights and builds foundation models…