Principal Machine Learning Engineer, ML Platform at Shippo

**Who this is for** This role is designed for a heavyweight engineering leader with 15+ years of experience, including at least 4 years specifically building and owning production machine learning systems. You should be a "paved road" builder—someone who enjoys creating the infrastructure that allows data scientists to move from research to production with reliability and speed. Extensive experience with Kubernetes and the ML lifecycle (MLflow) is essential. **Key highlights** The compensation is highly competitive, starting at $212k with a target midpoint of $250k, plus equity and comprehensive benefits (90% healthcare coverage). This is a remote-first, "Shippos Everywhere" role that offers true flexibility, a "take-as-much-as-you-need" vacation policy, and a dedicated home office stipend. You'll have significant autonomy to shape the technical strategy for a global logistics platform. **You might be a good fit if you...** * Have built enterprise-grade ML platforms using Kubernetes, Databricks, or similar managed services. * Are a "pragmatic architect" who can weigh the tradeoffs of batch vs. real-time inference and build vs. buy. * Enjoy mentoring senior engineers and setting company-wide engineering standards through RFCs and design reviews. * Want to solve complex logistics problems like delivery-date prediction and fraud detection at scale.