ML Engineer

Location: Boston or NYC office (engineers are expected to meet in-person regularly).

Design, develop, and deploy scalable machine‑learning software systems to address large‑scale healthcare challenges, working closely with software engineers, research scientists, and product teams.

You can expect to:

• Architect efficient, secure, reliable, and performant ML pipelines and infrastructure.
• Design, develop, and maintain scalable, data‑centric backend infrastructure for our product.
• Translate cutting‑edge LLM research into production, delivering value for customers.
• Work with complex, large‑scale, real‑world clinical data (structured and unstructured) in a cloud‑based environment.
• Develop methods and features to ensure high‑quality results for production models (drift detection, observability tooling, etc.).
• Collaborate with product, engineering, and research teams to improve product...