About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD degree in Computer Science, Biomedical Engineering, or a related quantitative field
- 2 years of experience with modern machine learning frameworks such as JAX, PyTorch, or TensorFlow 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.)
More about this role
- Conduct AI research and development in the field of health technology, primarily focusing on wearables and mobile platforms, for tracking and predicting health-related metrics and outcomes.
- Design architectures for multimodal AI models and set up tests to deploy ideas broadly, while building and improving AI research infrastructure by ingesting datasets and maintaining evaluation systems.
- Communicate research findings to a wide variety of audiences, and publish findings in academic journals.
- Identify upcoming research areas by interacting with potential collaborators to help develop long-term research strategy and plans that expand the impact of Google research.
- Collaborate with cross-functional partners on engineering, product, and clinical teams to integrate research developments into consumer-facing products.
- PhD degree in Computer Science, Biomedical Engineering, or a related quantitative field.
- 2 years of experience with modern machine learning frameworks such as JAX, PyTorch, or TensorFlow and distributed training on accelerators.
- One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS,...
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