Build and maintain production ML systems including training/inference pipelines, model serving via APIs/batch, monitoring for drift, and automated retraining. Productionize models from prototypes with strong Python, MLOps, and reliability focus.
Build, evaluate, and productionize ML/AI models (including LLMs and NLP) that solve ambiguous healthcare, product, and operational problems at Sprinter Health. Requires strong experimentation, error analysis, stakeholder collaboration with clinicians, and focus on real-world impact, bias, and evaluation.
Build and lead the first ML engineering function at Sprinter Health. Design and implement production ML platforms for training, serving, features, monitoring, retraining and governance; productionize models from prototype to reliable systems in a healthcare startup environment.
Applied Scientist building optimization, forecasting, and simulation models to solve complex logistics and clinician-patient matching problems for in-home healthcare delivery. Requires strong operations research foundations, Python/SQL/ML expertise, and experience shipping production decision systems.
Software Engineer on the Logistics Optimization team designing and implementing algorithms for clinician routing, scheduling, dispatch, simulations, and predictive models to optimize in-home healthcare delivery at national scale. Requires 2-3 years software engineering experience with optimization, forecasting or simulation systems, preferably in TypeScript/Python.
Build and maintain production ML systems including training/inference pipelines, model serving via APIs/batch, monitoring for drift, and automated retraining. Productionize models from prototypes with strong Python, MLOps, and reliability focus.
Build, evaluate, and productionize ML/AI models (including LLMs and NLP) that solve ambiguous healthcare, product, and operational problems at Sprinter Health. Requires strong experimentation, error analysis, stakeholder collaboration with clinicians, and focus on real-world impact, bias, and evaluation.
Build and lead the first ML engineering function at Sprinter Health. Design and implement production ML platforms for training, serving, features, monitoring, retraining and governance; productionize models from prototype to reliable systems in a healthcare startup environment.
Applied Scientist building optimization, forecasting, and simulation models to solve complex logistics and clinician-patient matching problems for in-home healthcare delivery. Requires strong operations research foundations, Python/SQL/ML expertise, and experience shipping production decision systems.
Software Engineer on the Logistics Optimization team designing and implementing algorithms for clinician routing, scheduling, dispatch, simulations, and predictive models to optimize in-home healthcare delivery at national scale. Requires 2-3 years software engineering experience with optimization, forecasting or simulation systems, preferably in TypeScript/Python.