Job Description
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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