Founding ML Engineer, Quality Intelligence

AfterQuery; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Insurance

401(k) With Employer Match

Daily Meals

Wellness Stipend

Commute Covered

Job summary

AfterQuery is hiring a Founding Machine Learning Engineer, Quality Intelligence to build ML and data systems that measure, improve, and scale data quality in frontier AI models. You’ll work on production systems at the intersection of machine learning, human expertise, and model evaluation.

This role targets someone who wants to build practical ML systems that directly enhance data quality, reliability, and scalability while collaborating with engineers, domain experts, and operators.

Qualifications

• 3–6 years of experience in related roles.
• Strong software engineering background with production systems experience.
• Experience in applied ML, ranking, recommendations, search quality, marketplace systems, trust/safety, fraud, or data quality systems.
• Strong data intuition and ability to handle messy 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 to 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 real-world signals into models, metrics, and product improvements.
• Partner with engineers, domain experts, and operators to improve data creation and review processes.
• Own high-impact systems from design through production deployment.

Skills

YOE 3-6

Strong software engineering

Applied ML experience

Data intuition

Backend & data pipelines

High ownership

Quality focus

Job description

AfterQuery is hiring a Founding Machine Learning Engineer, Quality Intelligence to build ML and data systems that measure, improve, and scale data quality in frontier AI models. You’ll work on production systems at the intersection of machine learning, human expertise, and model evaluation.

This role targets someone who wants to build practical ML systems that directly enhance data quality, reliability, and scalability while collaborating with engineers, domain experts, and operators.