Senior Software Engineer, Backend Infrastructure (Labeling)

Stack AV is developing revolutionary AI and advanced autonomous systems to enhance safety and efficiency in the trucking transportation industry. As a Labeling Infrastructure Backend Engineer, you will design and scale systems that manage massive datasets and integrate with machine learning pipelines.

Responsibilities:

• Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency
• Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments
• ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency
• API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms
• Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency
• Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions
• 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