Senior Machine Learning Engineer, Cohere Health

• You have 5+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar field
• 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
• Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
• Hands on experience building deep learning models (e.g., transformers) for NLP tasks
• Experience with generative AI and Retrieval Augmented Generation (RAG)

Desirable

• In this role, 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
• 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

• Connect with Talent Acquisition for a Preliminary Phone Screening
• Meet your Hiring Manager!
• Behavioral Interview(s)
• Case Study
• Subject to change