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Software Engineer, Applied AI

United States, San Francisco 130000.00 USD / Year · Job Posted February 21, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
  • Experience with model training and inference
  • Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
  • Familiarity with evaluation methods for large language models
  • Comfort working through ambiguity and shipping iteratively

What we offer

  • Generous equity (4-year vest)
  • $20K relocation bonus
  • $10K housing bonus (within 0.5 miles)
  • $1K monthly meal stipend
  • Free Equinox membership
  • Health insurance

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