Founding Machine Learning Engineer, Quality Intelligence
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Role details
Tech stack
Job description
- 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
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
Benefits & conditions
Massive Opportunity: We are one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.
Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley - work alongside world-class engineers and researchers., * Health Insurance: Medical, Vision, Dental
- 401(k) with Employer Match
- Daily Meals: Daily UberEats Stipend
- Monthly Wellness Stipend
- Commute Covered
About the company
About AfterQuery
AfterQuery 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 lifetime to build available to anyone who needs it.
Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate. We’re based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
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