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AI/ML Engineer
Newel HealthAI/ML Engineer working at Newel Health on intelligent models that personalize digital therapies using real-world data. Collaborate with engineering to embed models into SaMD environments while ensuring compliance and standards.
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Develop intelligent models that personalize digital therapies.
- Work with real-world data from SaMDs to design machine learning pipelines that predict health risks.
- Build scalable data pipelines for model training, testing, and deployment.
- Work closely with engineering to embed models into production SaMDs.
- Ensure models meet explainability, reproducibility, and regulatory standards.
- Evaluate generative AI tools for education and coaching applications.
Requirements
What you’ll need- 4+ years in ML/AI engineering, preferably with digital health datasets.
- Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.
- Strong skills in Python, data wrangling, and real-world signal processing.
- Understanding of clinical validation, bias mitigation, and privacy-preserving ML.
Benefits
Comp & perks- remote-first culture
- Support from cross-disciplinary teams passionate about patient outcomes
- Collaboration with leading partners in Pharma, MedTech, and academic research
ATS Keywords
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Hard Skills & Tools
Machine LearningData WranglingSignal ProcessingModel TrainingModel TestingModel DeploymentGenerative AIClinical ValidationBias MitigationPrivacy-Preserving ML