Founding Machine Learning Engineer, Quality Intelligence

A. & A. FEDER'S INC.
San Francisco, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Machine Learning Software Deployment Software Engineering Backend Data Pipelines

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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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · World Congress 2026 Europe

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