Machine Learning Engineer - Quality Intelligence

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
• Possess ownership of high-impact systems from early design through production deployment

Requirements

• 3-6 years of relevant experience with a strong software engineering background and 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