Principal Machine Learning Engineer, ML Platform

Shippo
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 15+ yearsSkills: ["Leadership","Mentorship","Communication","Collaboration","Problem-solving"]

Lead the ML platform initiative at Shippo, setting technical strategy and a multi-quarter roadmap for production-grade ML infrastructure. Own cross-team architecture, drive RFCs, and raise the bar for reliability, observability, and developer experience. Build core ML platform components, mentor engineers, and collaborate with Data Science and Engineering to scale ML workflows in production.

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FursaFursa
Shippo
Shippo
3 months ago

Principal Machine Learning Engineer, ML Platform

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead the ML platform initiative at Shippo, setting technical strategy and a multi-quarter roadmap for production-grade ML infrastructure. Own cross-team architecture, drive RFCs, and raise the bar for reliability, observability, and developer experience. Build core ML platform components, mentor engineers, and collaborate with Data Science and Engineering to scale ML workflows in production.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Set technical strategy and drive a multi-quarter roadmap for ML platform capabilities aligned to Shippo’s business priorities.
  • •Own cross-team architecture decisions, RFCs, and design reviews for ML lifecycle and inference.
  • •Raise the engineering bar through mentorship, production readiness standards, and reusable platform primitives.
  • •Build and operate core ML platform components: ML lifecycle foundation, training and experimentation enablement, and Kubernetes-native model serving for real-time inference.
  • •Collaborate with Data Science and Engineering teams to ensure platform reliability, adoption, and scalable workflows.

Pay and Benefits

Perks:Health InsuranceVision401kEquityRemote WorkLearning StipendHome OfficePaid Leave

Key Requirements

  • •15+ years of software engineering experience with ownership of production systems (platform, infrastructure, or distributed systems)
  • •4+ years owning ML systems end-to-end in production, including on-call and incident response
  • •Strong experience building and running services on Kubernetes with deployments, autoscaling, and observability
  • •Hands-on experience with ML lifecycle tooling such as MLflow or equivalent (tracking, registry, packaging, and promotion workflows)
  • •Demonstrated ability to evaluate inference tradeoffs across batch and real-time serving, latency, throughput, cost, and operational complexity
Experience:15+ yearsMachine learningML platformDatabricksKubernetes
Skills:LeadershipMentorshipCommunicationCollaborationProblem-solving
Languages:English
Tech Stack:KubernetesMLflowDatabricksPythonML platformModel registryArtifact managementCI/CD

Company Brief

Shippo
Shippo provides a shipping API and multi-carrier shipping platform that helps e-commerce businesses compare rates, buy labels, track shipments, and automate returns across carriers to streamline fulfillment and reduce shipping costs.
Industry: Supply Chain Technology
Company Size: Large (251 to 1,000 employees)
Growth: Growth Stage Startup
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn