Software Engineer, Systems & Platform Applied AI
Mercor · San Francisco
CHECKED 22H AGO
Applied AIonsitemid-level$220k–$500k
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