AfterQuery
Machine Learning Engineer - Quality Intelligence
San Francisco
Sponsorship not specifiedDetected 10 days ago
Machine LearningData EngineeringValuationResearch
About the role
- Every leading AI lab uses our datasets and reinforcement learning environments to encode and scale real-world expertise.
- You'll work on production systems at the intersection of machine learning, human expertise, and frontier model evaluation.
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
- 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
Requirements
- 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
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