Principal Machine Learning Engineer

Job Summary

Driving the architectural vision for large-scale machine learning systems, the full-time Principal Machine Learning Engineer will work remotely to enhance patient care through AI-powered solutions, focusing on treatment recommendations and intelligent care delivery.

Key Responsibilities

• Define and drive the architectural vision for ML and LLM systems that support treatment recommendation and personalization
• Establish design patterns and infrastructure practices ensuring systems are scalable, resilient, and maintainable
• Lead cross-functional initiatives to simplify system complexity and improve developer velocity

Required Qualifications

• 10+ years of experience in Machine Learning and/or Engineering with a strong track record in technical leadership
• Expert-level proficiency in Python and advanced ML frameworks such as PyTorch or TensorFlow
• Demonstrated success in designing and evolving ML platforms for production-grade training and deployment
• Deep experience in LLMs and NLP, including transformer models and conversational agents
• A Master's degree or PhD in Computer Science, Machine Learning, or a related field (not strictly required)