1 month ago
Responsibilities
- Design, build, and ship production backend systems end to end.
- Build tools for recruiting automation, candidate matching, global hiring, contracts, and payments on the talent platform side.
- Create post-training datasets with AI researchers to improve foundational model capabilities on the applied AI/human data side.
- Work closely with product and design to deliver scalable, simple, high-quality systems.
- Own projects that directly impact customers and business outcomes.
Requirements
- Pursuing a Computer Science or related degree and graduating between 2026 and 2028.
- Strong programming skills in Python, Go, or JavaScript.
- Understanding of data structures, algorithms, and distributed systems.
- Familiarity with APIs, SQL or NoSQL databases, and cloud platforms.
- Curiosity about and passion for AI and startups.
- Ability and willingness to work in person and thrive in a fast-paced environment.
Benefits
- Mentorship from experienced engineers.
- Opportunities to work on real, high-impact projects and receive exposure to frontier AI research and engineering.
- $1.5K monthly meal stipend.
- Free Equinox membership.
- Team events and offsites.
- Potential full-time return offer.
- Work in person five days a 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.