4 hours ago
Base Salary
$130k - $500k/yr
Responsibilities
- Design services and state models for multi-stage workflows spanning automated processing and expert review.
- Build orchestration primitives for retries, failure recovery, idempotency, and auditable state transitions in long-running jobs.
- Integrate model inference into production workflows while preserving debuggability and human oversight.
- Build APIs and tooling for product, operations, and ML teams to operate and debug workflows at scale.
- Own reliability and observability for workflows where silent failures can corrupt results.
- Design, ship, operate, debug, and improve systems end to end in collaboration with product, operations, and ML teams.
Requirements
- Production backend engineering experience.
- Strong judgment about system design, service boundaries, and managing complexity.
- Practical fluency with asynchronous workflows, queues, idempotency, retries, and long-running jobs.
- Ability to translate ambiguous product, operational, and ML constraints into clean, debuggable systems.
- Comfort working with Python, AWS, and Postgres.
- Experience with Temporal or similar workflow engines is preferred.
- Ability to work effectively in ambiguous, fast-paced environments and take ownership of system reliability.
Benefits
- Bi-annual performance bonus structure.
- Generous equity grant vested over four years.
- Relocation and housing support.
- Monthly meal, laundry, and personal wellness stipends.
- Free Equinox membership.
- Health, dental, and vision insurance.
- In-person work five days a week in the San Francisco, New York City, or London offices.
Tech Stack
Categories
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.