Overview In this role you will conduct AI R&D at the intersection of health tech and wearables to advance health outcomes. You will design and test multimodal models, build scalable research infrastructure, and drive results from experiments into consumer-facing products. You will publish findings and engage with collaborators to shape long-term health AI strategy. You will work with cross-functional teams to translate research into impactful health solutions, leveraging large-scale datasets and foundation models.
Compensation / Benefits- bonus target
- equity
- benefits
Responsibilities- Design and prototype multimodal AI model architectures for health wearables and mobile platforms
- Set up large-scale tests and deploy promising ideas across teams
- Ingest datasets and maintain evaluation systems for reproducible results
- Collaborate with product, engineering, and clinical teams to translate research into products
- Publish research findings and present to academic and industry audiences
- Identify future research directions with collaborators to widen impact
- Communicate research progress and strategy to stakeholders
Key requirements- PhD degree in Computer Science, Biomedical Engineering, or related quantitative field
- 2 years of experience with JAX, PyTorch, or TensorFlow and distributed training on accelerators
- One or more scientific publication submissions for conferences, journals, or public repositories
- collaboration
- clear scientific communication
- ability to work across cross-functional teams
- multimodal model architectures
- foundation models (LLMs, VLMs, time-series)
- generative AI
