Senior Machine Learning Engineer
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Job Description
Remote Sr. Machine Learning Engineer developing machine learning solutions in healthcare. Collaborating with PhD Researchers to build state-of-the-art ML algorithms with large clinical datasets.
Responsibilities:
- Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems
- Help develop pipelines that collect, preprocess, and deliver data with a measurable quality
- Write production-ready software with well-tested and efficient algorithms
- Develop state-of-the-art ML algorithms across computer vision, large-language models, and probabilistic inference to solve problems like medical document entity extraction, medical coding and claim outcome prediction
- Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment
- Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways
Requirements:
- Master's degree in Computer Science or similar
- 5+ years of work experience in machine learning and data engineering
- Have experience launching production systems from the ground up
- Proficiency in one or more programming languages such as Python and C++
- Development experience with cloud platforms such as Spark, AWS & k8s
- Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow
- Full-stack development experience for an end-to-end ML solution
- Ideal experience with Large Language Models, including both open source model deployment and agentic workflows.
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