Machine Learning Engineer - Quality Intelligence

What this role involves

AfterQuery builds data and evaluation systems for frontier AI models. This role involves building ML systems to measure and improve data quality, including expert matching, quality prediction, and anomaly detection. The engineer will own production systems from design to deployment, working closely with domain experts.

Skills this posting asks for

• applied machine learning
• ranking
• recommendations
• search quality
• marketplace systems
• trust/safety
• fraud detection
• data quality
• backend engineering
• data pipelines
• ml models
• anomaly detection
• expert matching
• quality prediction
• evaluation infrastructure

Requirements

• 3 years of experience
• Level: mid

From the employer’s posting

ABOUT AFTERQUERY AfterQuery https://www.afterquery.com/ is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a li…