Machine Learning Engineer I

Summary

Join Cohere Health's growing team of machine learning engineers and clinical experts to deploy machine learning models that automate clinical practices. The team designs, deploys, and monitors production models predicting clinical findings from various data sources. Successful candidates are empathetic, candid, kind, and embody Cohere's values. This role involves designing, developing, and deploying advanced machine learning algorithms, developing scalable production systems, and writing reusable code. Collaboration with diverse stakeholders is crucial to align ML solutions with company objectives. Cohere offers a supportive and growth-oriented environment.

Requirements

• You have 1+ 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

Responsibilities

• 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

Preferred Qualifications

• Experience with generative AI or Retrieval Augmented Generation (RAG)
• Experience working with unstructured healthcare data (e.g., clinical notes)
• Experience with OCR or image-based document understanding techniques
• Hands on experience using AWS tools such as SageMaker Studio

Benefits

• Fully remote opportunity with about 10% travel
• Medical, dental, vision, life, disability insurance, and Employee Assistance Program
• 401K retirement plan with company match; flexible spending and health savings account
• Up to 184 hours (23 days) of PTO per year + company holidays
• Up to 14 weeks of paid parental leave
• Pet insurance