Applied-ML Engineer

Mandolin is revolutionizing the healthcare industry by building the "last-mile" delivery infrastructure for cutting-edge biologics, cell, and gene therapies. Backed by prestigious investors including Greylock, SignalFire, Maverick, and founders of notable companies like Yahoo, Mandolin is at the forefront of making all diseases treatable through engineering-driven drug discovery.

As an Applied-ML Engineer, you'll play a crucial role in advancing their AI-powered platform that currently serves leading infusion clinics. Working alongside a senior ML lead, you'll be responsible for improving model performance through better data curation, tighter evaluation loops, and sophisticated engineering around state-of-the-art models. Your work will directly impact healthcare delivery, with implementations reaching clinics in weeks rather than quarters.

The role combines hands-on machine learning engineering with practical application in healthcare. You'll build and maintain data pipelines, conduct experiments, ensure code quality through testing, and monitor production systems. The position offers an opportunity to work with cutting-edge ML technologies while making a meaningful impact in healthcare delivery.

Ideal candidates should have some ML experience, strong Python skills, and familiarity with major ML frameworks. The role particularly suits those who are excited about rapid deployment and seeing their work make immediate real-world impact. Additional experience with LLM fine-tuning, vector search, or document-understanding would be valuable but isn't required.