Machine Learning Engineer, Cohere Health

• You have 2+ 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 working with unstructured healthcare data (e.g., clinical notes)

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
• 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
• Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives