Machine Learning Engineer - Quality Intelligence

AfterQuery • San Francisco, CA

4d • $200,000 - $300,000 • Onsite

About The Position

AfterQuery builds the data and evaluation systems that power frontier AI models. Every leading AI lab uses our datasets and reinforcement learning environments to encode and scale real-world expertise. We’re hiring a Founding Machine Learning Engineer, Quality Intelligence to build the ML systems behind how we measure, improve, and scale data quality. You’ll work on production systems at the intersection of machine learning, human expertise, and frontier model evaluation. This role is for someone who wants to build practical ML systems that directly improve the quality, reliability, and scalability of expert human data.

Requirements

• 3-6 YOE with relevant experiences
• Strong software engineering background with experience shipping production systems
• Experience with applied ML, ranking, recommendations, search quality, marketplace systems, trust/safety, fraud, or data quality systems
• Strong data intuition and ability to work with messy, ambiguous real-world signals
• Comfort working across backend systems, data pipelines, ML models, and internal tools
• Ability to move quickly in a high-ownership, fast-changing environment
• Deep care for quality, precision, and customer impact

Responsibilities

• Build ML and data systems that help measure quality across complex human data workflows
• Develop systems for expert matching, quality prediction, and anomaly detection
• Build evaluation infrastructure for tasks, reviewers, projects, and data deliveries
• Turn messy real-world signals into models, metrics, and product improvements
• Partner with engineers, domain experts, and operators to improve how high-quality data is created and reviewed
• Own high-impact systems from early design through production deployment

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed