Software Engineer I, Quality
Core
Build backend systems and infrastructure to define, select, and enforce quality standards for data and evaluations delivered to frontier AI labs.
Role type
Senior backend software engineer (quality infrastructure)
Builds
Real-time quality check systems, data pipelines, measurement systems, and APIs for the Quality platform
Domain
AI data infrastructure / Model evaluation
Deliverable
production ML models | infrastructure
Required skills
backend system design, distributed systems, API development, data pipelines, operational reliability, system testing, debugging
Preferred skills
machine learning, model evaluation, recommendation systems, ranking systems, annotation platforms, workflow orchestration, MCP, agentic systems
Technologies
APIs, databases, distributed systems, MCP
Responsibilities
Build and scale backend systems for data quality evaluation, develop real-time quality check infrastructure, design recommendation systems for quality checks, build data pipelines to make quality signals observable, develop platform APIs, surface capabilities via AI-native interfaces, partner with stakeholders to solve ambiguous quality problems
Seniority
Mid-level, hands-on IC