Lead Machine Learning Engineer

Opportunity Overview: As a Lead Machine Learning Engineer, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you’ll do: Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases. 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. Required Qualifications: Must-haves Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measure