Software Engineer, Applied AI - Frontier Engineering
Mercor, San Francisco
- Pay
- $160K – $500K • Offers Equity
- Work type
- Onsite
- Level
- Not stated
- Area
- ML / AI engineering, Inference & ML systems
- Posted
- Apr 21, 2026
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About the role
ABOUT MERCOR
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
ABOUT THE ROLE
As a Software Engineer on Applied AI, you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
This is a high-ownership, deeply technical role. You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.
WHAT YOU’LL DO
- Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
- Build and operate scalable data pipelines for post-training workflows and model evaluations
- Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
- Prototype new data types, benchmarks, and evaluation frameworks
- Lead technical discussions with customers
WHAT MAKES THIS ROLE DIFFERENT
- Direct frontier exposure. You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
- Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.
DAY-TO-DAY
- Fast-moving, high-ownership environment
- Technically demanding, collaborative work
- “Building the plane while flying it”
- In-person culture (SF, 181 Fremont)
- Aligned with frontier research timelines
WHAT WE’RE LOOKING FOR
- Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
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Listed on Mercor's Ashby job board; checked 4 h ago. First seen by us 2 days ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.