{"schemaVersion":"jobsearcher.job.v1","id":"2d9a19fa5f0bf31cdd422492","url":"https://jobsearcher.com/jobs/2d9a19fa5f0bf31cdd422492","canonicalUrl":"https://jobsearcher.com/jobs/2d9a19fa5f0bf31cdd422492","title":"Machine Learning Engineer - Quality Intelligence San Francisco","description":"About AfterQuery AfterQuery is an applied research lab curating data solutions for foundation model development.\r\nWe 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.\r\nThis 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.\r\nWe'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.\r\nWhy Apply Massive Opportunity:\r\nWe 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.\r\nFounding Impact:\r\nYou will own and architect core infrastructure systems that power our platform from the ground up.\r\nEquity & Growth:\r\nCompetitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.\r\nStrong Team:\r\nOur founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.\r\nOverview 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.\r\nWe’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.\r\nThis role is for someone who wants to build practical ML systems that directly improve the quality, reliability, and scalability of expert human data.\r\nResponsibilities Build ML and data systems that help measure quality across complex human data workflows\r\nDevelop systems for expert matching, quality prediction, and anomaly detection\r\nBuild evaluation infrastructure for tasks, reviewers, projects, and data deliveries\r\nTurn messy real-world signals into models, metrics, and product improvements\r\nPartner with engineers, domain experts, and operators to improve how high-quality data is created and reviewed\r\nOwn high-impact systems from early design through production deployment\r\nRequired Qualifications 3-6 YOE with relevant experiences\r\nStrong software engineering background with experience shipping production systems\r\nExperience with applied ML, ranking, recommendations, search quality, marketplace systems, trust/safety, fraud, or data quality systems\r\nStrong data intuition and ability to work with messy, ambiguous real-world signals\r\nComfort working across backend systems, data pipelines, ML models, and internal tools\r\nAbility to move quickly in a high-ownership, fast-changing environment\r\nDeep care for quality, precision, and customer impact\r\nNot a Fit If You want to do pure research without owning production systems\r\nYou only want to train models and not build product infrastructure\r\nYou need clean datasets and perfectly scoped problems\r\nYou do not want to work closely with users, operators, and domain experts#J-18808-Ljbffr","company":"Afterquery","rawCompany":"afterquery","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-21T01:13:58.773Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Quality Intelligence San Francisco","description":"About AfterQuery AfterQuery is an applied research lab curating data solutions for foundation model development.\r\nWe 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.\r\nThis 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.\r\nWe'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.\r\nWhy Apply Massive Opportunity:\r\nWe 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.\r\nFounding Impact:\r\nYou will own and architect core infrastructure systems that power our platform from the ground up.\r\nEquity & Growth:\r\nCompetitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.\r\nStrong Team:\r\nOur founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.\r\nOverview 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.\r\nWe’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.\r\nThis role is for someone who wants to build practical ML systems that directly improve the quality, reliability, and scalability of expert human data.\r\nResponsibilities Build ML and data systems that help measure quality across complex human data workflows\r\nDevelop systems for expert matching, quality prediction, and anomaly detection\r\nBuild evaluation infrastructure for tasks, reviewers, projects, and data deliveries\r\nTurn messy real-world signals into models, metrics, and product improvements\r\nPartner with engineers, domain experts, and operators to improve how high-quality data is created and reviewed\r\nOwn high-impact systems from early design through production deployment\r\nRequired Qualifications 3-6 YOE with relevant experiences\r\nStrong software engineering background with experience shipping production systems\r\nExperience with applied ML, ranking, recommendations, search quality, marketplace systems, trust/safety, fraud, or data quality systems\r\nStrong data intuition and ability to work with messy, ambiguous real-world signals\r\nComfort working across backend systems, data pipelines, ML models, and internal tools\r\nAbility to move quickly in a high-ownership, fast-changing environment\r\nDeep care for quality, precision, and customer impact\r\nNot a Fit If You want to do pure research without owning production systems\r\nYou only want to train models and not build product infrastructure\r\nYou need clean datasets and perfectly scoped problems\r\nYou do not want to work closely with users, operators, and domain experts#J-18808-Ljbffr","datePosted":"2026-08-21T01:13:58.773Z","dateModified":"2026-08-21T01:13:58.773Z","hiringOrganization":{"@type":"Organization","name":"Afterquery","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2d9a19fa5f0bf31cdd422492"},"url":"https://jobsearcher.com/jobs/2d9a19fa5f0bf31cdd422492"}}