About The Position

As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel. You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines. Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume.

Requirements

  • Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
  • Ability to collaborate effectively across teams.
  • Strong development experience with Python and SQL.

Nice To Haves

  • Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus.
  • Prior experience with ML Ops workflows is a plus.
  • Prior experience building and managing data platforms for multimodal ML needs is a plus.
  • Prior experience with agentic workflows is a plus.
  • Prior experience in autonomous vehicles (AV) is a plus.

Responsibilities

  • Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure.
  • Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready.
  • Build scalable backend services for automated QA to and AI-assisted labeling plugins.
  • Write high quality Python and SQL.
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