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Software Engineer, Systems & Platform Applied AI

Mercor · San Francisco

CHECKED 22H AGO

Applied AIonsitemid-level$220k–$500k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build backend systems turning human expertise into frontier model training data.
  • Own high-throughput pipelines and job systems running at growing scale.
  • Manage tens of thousands of containers and sandbox environments.

What they offer

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k relocation bonus
  • $10K housing bonus if within 0.5 miles of office
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Ideal candidate

Backend builder with 2-5 years operating production systems who thrives on ownership and ambiguity. You care about shipping reliable, observable services and growing quickly alongside a talent-dense team.

Requirements

  • 2-5 years of professional backend engineering experience building and operating production systems
  • Strong fundamentals in backend engineering: data structures, algorithms, concurrency, and clear, maintainable code
  • Hands-on experience with API design - REST, gRPC, or GraphQL, including versioning, contracts, and backward compatibility
  • Solid database skills: relational data modeling, indexing, query performance, transactions and isolation, and safe migrations
  • Familiarity with at least one NoSQL or key-value store and when it's the right choice
  • Practical experience with distributed systems basics: queues and event streams, caching, idempotency, rate limiting, designing for partial failure
  • Experience with data orchestration and workflow management systems like Airflow, Temporal, Dagster
  • Ability to dig into lower-level infrastructure issues - containers, permissions, logs, traces
  • Experience running services in production: containers, CI/CD, monitoring and alerting, debugging under real traffic
  • Comfort with ambiguity - take loosely defined problems, ask right questions, and come back with a plan
  • Genuine excitement for agentic development, fluency with modern AI dev tools, passion for writing good code
  • Clear written and verbal communication
  • High ownership, pragmatism, and a bias toward shipping
remote policy
In-person 5 days a week

Lab profile

About Mercor

AI data company organizing human expertise to train frontier models for the AI economy.

What they build

  • APEX benchmark family
  • Mercor Enterprise
  • Human expertise training data platform

Known for

  • Massive domain-expert network
  • Frontier model training infrastructure
  • Real-world professional work evaluation

Key facts

  • Millions of domain experts on platform
  • Pays over $4M per day to experts
More about Mercor →
Apply on the lab’s site ↗