Principal ATA Engineer
Core
Set technical direction and architecture for a scalable recommendation platform serving shoppers, vehicles, and inventory using behavioral signals.
Role type
Principal software engineer (recommendation systems)
Builds
Production recommendation systems, personalization, ranking, and experimentation features
Domain
E-commerce / Retail / Automotive
Deliverable
production ML models | product features
Required skills
software architecture, distributed systems, APIs, production engineering, Kotlin, Java, C#, Python, SQL, relational databases, machine learning platforms, real-time/batch feature pipelines, experimentation systems, recommendation metrics, cloud-native architectures, event-driven systems, streaming data, high-volume services
Preferred skills
AI/ML application, personalization, search, ranking, marketplace, discovery systems
Responsibilities
Set technical direction and architecture for the recommendation platform, build scalable recommendation systems using shopper/vehicle/inventory/behavioral signals, partner with Data Science to productionize models, drive personalization/ranking/experimentation/AI experiences, lead cross-functional initiatives from design to delivery, improve reliability/scalability/observability, provide hands-on technical leadership via coding/design reviews/mentoring
Seniority
Principal, hands-on IC with strategy & mentorship
