Senior Machine Learning Engineer

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options through advanced AI solutions. The Senior Machine Learning Engineer will design and deploy machine learning algorithms to tackle healthcare challenges, collaborating with product managers and clinicians to create scalable, production-ready systems.

Responsibilities:

• Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases
• Apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, create intuitive simulations, data visualizations, and business narratives
• Develop reliable and scalable production machine learning systems
• Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment
• Provide software and machine learning best practice guidance to junior engineers
• Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives

Requirements:

• 5+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar field
• Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
• Experience with generative AI and Retrieval Augmented Generation (RAG)
• Clear understanding of model building, model maintenance and the measures that optimize models for production use
• Understand experimental design and can independently perform collection, measurement, and interpretation of results
• Excellent written and verbal communication skills - experience collaborating with and presenting to technical and non technical (i.e., clinical, service operations) audiences
• Experience working with Healthcare data is preferred