Senior ML Engineer - Healthcare AI Innovation
Tasks
- Apply causal inference
- Apply large language models foundation models
- Apply multimodal learning
- Build and deploy machine learning models in real world settings
- Build production ready machine learning solutions
- Collaborate with clinicians, researchers, and product teams
- Design and implement advanced machine learning models
- Develop novel AI use cases for healthcare
- Integrate genomics imaging and clinical notes
- Leverage structured and unstructured clinical data
- Model time series and longitudinal data
Perks/Benefits
- 401k
- Dental insurance
- Flexible paid time off
- Flexible work hours
- Health insurance
- Parental leave
- Professional development
- Vision insurance
- Work/life autonomy
Skills/Tech-stack
Applied statistics | Causal Inference | Deep learning | Foundation Models | Genomics | Imaging | Language Models | Language Processing | Large Language Models | Longitudinal Modeling | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Series modeling | TensorFlow | Time Series | Time Series Modeling
Education
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