ML Platform Engineer

Who we are: Founded in 2016, K Health's mission is to deliver accessible, high-quality healthcare at scale. As a leading clinical AI company in primary care, K Health has developed a suite of clinical AI agents that enhance provider efficiency and improve patient outcomes. K Health's virtual primary care platform is enhanced by an AI copilot to complete the initial patient intake, summarizing relevant history from the EMR, and generating “the perfect note” to reduce the time providers spend on basic data collection and non-clinical tasks. Unlike other virtual medicine companies, K Health delivers comprehensive, longitudinal primary care in a virtual setting, enabling our clinicians to be true primary care providers without sacrificing scope of practice or continuity of care. As a venture-backed startup trusted with nearly $400 million in funding and a $900 million valuation as of July 2024, K Health is well-positioned for sustained future growth. We are expanding our partnerships with major health systems (Cedars-Sinai, Hackensack Meridian Health, Hartford HealthCare), enhancing accessibility and quality of care by pairing people with technology. Our providers are credentialed at these renowned academic health systems and adhere to their clinical guidelines, ensuring patient-first, evidence-based care. Fully integrated into Epic, our AI platform enables K Health to operate as an extension of existing healthcare systems, benefiting from a built-in network of specialists and social services to seamlessly serve patients within those communities. Our unique care delivery model enables our providers to deliver the same high-quality, accessible care to a mixed-payer population, including those with commercial insurance, Medicare, and Medicaid. Join us in our mission to deliver smarter, simpler healthcare of the future - today! About the role We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team. In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis. If you’re passionate about AI, machine learning, and writing high-quality code—and are eager to contribute to innovative, impactful “do good” projects in the digital health space—we’d love to hear from you! What you'll be doing: Design, develop, and maintain our machine learning ecosystem libraries. Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP). Create and maintain CI scripts to ensure seamless integration and delivery. Conduct thorough code reviews to uphold high-quality standards. Collaborate closely with data scientists, understanding and addressing their evolving needs. Work alongside software developers to seamlessly integrate machine learning models into production systems. Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the company’s products and services. What we're looking for: 5+ years in software engineering with experience in backend/platform roles. 5+ years of experience with Python. Proficiency in another language, such as C++, Rust, Java, or Go, is an advantage. 2+ years of experience working with cloud platforms such as Google Cloud (preferred), Azure, or AWS, including familiarity with ML workflow frameworks like KFP or Vertex Pipelines. Solid experience in ML/AI development (a must). Experience with inference optimization (vLLM) and fine-tuning (Axolotl/Huggingface). Expertise with transformers, PyTorch, CUDA, and other low-level ML libraries. Familiarity with Docker and Kubernetes. Excellent problem-solving skills and a proactive attitude, with a strong focus on code quality and optimization. Collaborative mindset wi ... (truncated, view full listing at source)