Drimva

Mercor

Software Engineer, Applied AI - Frontier Engineering

$160K–$500K

San Francisco · On-site · Full-time · Posted Apr 21, 2026

About the job

Build and operate applied AI infrastructure and data systems for frontier model training, post-training, and evaluation, from prototypes through production.

What you'll do

  • Partner with frontier AI labs and customers to understand data, post-training, evaluation, and technical requirements.
  • Build scalable data pipelines and systems for synthetic data generation, data quality, and model evaluations.
  • Prototype data types, benchmarks, and evaluation frameworks; lead technical discussions with customers.

What they ask for

  • Strong backend engineering fundamentals in a modern language.
  • 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.

Pay

$160K – $500K (base salary)

Tools

Python, Go, Rust

AI focus

Build data pipelines, synthetic data systems, benchmarks, and evaluation infrastructure supporting frontier model post-training and evaluation.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)