Senior Machine Learning Engineer, Cohere Health, Inc., Boston, Massachusetts (Remote)

Design, deploy and monitor machine learning algorithms to extract and predict clinical findings from structured & unstructured data sources. Duties include:

• Evaluate state-of-the-art deep learning approaches (e.g. transformers) for embedding, retrieval, classification and generative use cases. 
• Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment. 
• Build, deploy and monitor reliable and scalable production machine learning systems.
• Work cross-functionally with diverse stakeholders including product managers, clinicians, and technical leadership. 
• Develop multi-modal document understanding systems for information extraction, incorporating segmentation, ordering, and classification to enrich metadata for improved retrieval and generation workflows. 
• Provide software and machine learning best practice guidance to junior engineers.
• Provide onboarding support and mentorship to interns.

Requirements:

Must have a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or closely-related field and 3 years of professional experience as a machine learning engineer performing software platform development. Experience must include 3 years (which can have been gained concurrently with the primary experience requirement above) in the following:

• End-to-end machine learning lifecycle within an Agile environment; 
• Developing and deploying machine learning models for NLP and computer vision, implementing architectures such as Transformer-based models, and CNN-based models; 
• Frameworks and libraries including: PyTorch, TensorFlow, Scikit-Learn, Keras, Spacy, Hugging Face, and ML applications; 
• Applying statistical and ML techniques leveraging Python, including Pandas and Numpy; 
• Cloud computing and data analytics using AWS services (including S3, Athena, EC2, Lambda, SageMaker, CloudWatch, and Bedrock), along with SQL, Docker, and Linux for scalable processing; 
• Designing, building, and evaluating RAG-based Generative AI applications using LangChain, LlamaIndex or similar while managing workflows with JIRA, Confluence, and Git.

This is a telecommuting position working from home. May reside anywhere in the United States.

Salary range is $146,000 - $180,000 per year for a 40-hour work week.

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