Quilter
Staff ML Systems Engineer
$180K–$200K
Remote - US · Remote · Staff · Full-time · Posted Apr 3, 2026
- Experience
- 7+ years of industry experience building and operating ML systems in production; the preferred section also lists 7+ years of industry experience.
About the job
Build and lead ML systems infrastructure for automated PCB component placement, taking research workflows from prototype to production.
What you'll do
- Design and maintain infrastructure for ML training, evaluation, serving, and monitoring; own data pipelines.
- Improve experiment management, orchestration, reproducibility, CI/CD, and A/B testing infrastructure.
- Lead design reviews and guide architectural planning and sustainable systems decisions.
What they ask for
- 7+ years of industry experience building and operating production ML systems.
- Track record as a key contributor to an end-to-end production-grade ML system.
- Deep familiarity with training pipelines, serving infrastructure, and experiment management.
- Experience driving design reviews and improving engineering processes.
Nice to have
- Familiarity with ML workflows involving optimization, RL, or combinatorial problems.
- Experience building infrastructure for small, research-heavy teams.
Pay
$180K – $200K USD base salary
Tools
GPU
AI focus
Build infrastructure for the ML lifecycle supporting automated PCB component placement, including training, evaluation, serving, monitoring, and experimentation.
Model-written summary · the original posting is authoritative