In this role as Sr. Machine Learning Engineer, you will play a critical role in developing and deploying machine learning models that drive care personalization, treatment recommendations, and automation across our platform. Your work will directly impact MedMatch, our AI-powered system that enhances provider-patient interactions, optimizes treatment recommendations, and expands into new verticals.
You will develop and deploy ML and LLM models for recommendation systems and personalized treatment strategies and work extensively with Python and ML libraries like PyTorch to build and optimize models. You will write clean and efficient code to support scalable ML applications and collaborate with engineers and product managers to integrate ML models into real-world systems. The role requires setting up necessary ML infrastructure components to streamline model training, evaluation, and deployment. It involves evaluating and implementing cutting-edge ML tools and frameworks, keeping the company at the forefront of ML and LLM advancements. Mentoring engineers, sharing expertise in ML modeling, deployment, and best practices, along with actively participating in retrospectives to help drive continuous improvement in our process and culture.