# Principal Machine Learning Engineer, ML Platform

**Company:** [Shippo](https://hotfix.jobs/companies/shippo)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $212k – $287k/yr
**Experience:** 15+ years
**Skills:** MLflow, Kubernetes, Databricks, Ml Platform, Model Serving, Inference Frameworks, Observability, CI/CD, SageMaker, Vertex Ai
**Posted:** 2026-02-10

> Principal ML Platform Engineer builds production ML infrastructure for shipping logistics ML (prediction, fraud, optimization). Requires 15+ years engineering, 4+ years ML production systems, Kubernetes/MLflow expertise.

## Job Description

## Responsibilities
- Set technical strategy and multi-quarter roadmap for ML platform.
- Own cross-team architecture, RFCs, and design reviews.
- Build core components: ML lifecycle (MLflow), training pipelines, Kubernetes model serving, batch inference, observability, and developer experience.
- Evaluate inference frameworks, resolve performance bottlenecks, establish standards.
- Partner with Data Science and Engineering teams; mentor engineers.

## Requirements
- 15+ years software engineering with production systems ownership.
- 4+ years end-to-end ML systems in production (on-call, architecture).
- Strong Kubernetes experience (deployments, autoscaling, observability).
- Hands-on with MLflow or equivalent.
- Expertise in inference tradeoffs, reliability (SLOs), Principal-level leadership.
- Experience with managed ML platforms (Databricks, SageMaker, Vertex AI).

## Nice-to-Haves
- Databricks experience.
- Inference/serving frameworks.
- Feature stores, optimization systems, LLM workflows.

## Compensation
Base salary: $212,000 - $287,000 USD (midpoint $250,000), plus equity and benefits.

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**Apply:** https://hotfix.jobs/jobs/c20604fe-5f59-4147-b024-4dc1a1041db6
**Canonical:** https://hotfix.jobs/jobs/c20604fe-5f59-4147-b024-4dc1a1041db6