Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel, ensuring fast and reliable labeling operations capable of handling massive datasets.
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
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
- 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