2 months ago
Base Salary
$130k - $500k/yr
Responsibilities
- Build and operate backend services for candidate-job matching, routing, allocation, and marketplace workflows.
- Develop APIs and internal systems for search, eligibility, scoring, allocation, and fulfillment.
- Design data models and abstractions for a rapidly evolving labor marketplace.
- Build real-time and asynchronous decisioning infrastructure operating at high volume.
- Develop workflow engines for onboarding, vetting, routing, and placement.
- Improve the performance, reliability, observability, and evolvability of product-critical marketplace systems.
Requirements
- Track record of building and operating reliable backend systems in production.
- Strong judgment in system design, performance, reliability, and data modeling.
- Experience or comfort with high-throughput APIs, distributed systems, and asynchronous workflows.
- Ability to translate product and marketplace requirements into clean technical systems.
- High engineering standards and a preference for simple, durable abstractions.
- Preferred experience with search, recommendation, matching, scheduling, or marketplace systems.
- Preferred experience supporting ML-powered products or integrating model inference into production systems.
- Preferred familiarity with event-driven architecture, queues, caching, and observability tooling.
Benefits
- Bi-annual performance bonus structure and equity grant.
- Relocation, housing, meal, laundry, and personal wellness support.
- Free Equinox membership.
- Health, dental, and vision insurance.
- In-person work five days per week in the San Francisco, New York City, or London office.
Tech Stack
Categories
About Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.