Staff ML Systems Engineer

Role overview A small, research-driven engineering team building automation for printed circuit board design is hiring a senior or staff-level engineer to own the machine learning systems infrastructure behind their automated component placement product. The role centers on moving ML research from prototype to production reliably and at scale, covering training pipelines, data workflows, experiment management, orchestration, serving, and CI/CD. It is a fully remote position with high autonomy expectations and meaningful influence on long-range architecture.

Responsibilities - Design, build, and maintain ML infrastructure spanning training, evaluation, serving, and monitoring - Own end-to-end data pipelines including generation, cleaning, validation, and versioning - Build and improve experiment tracking, orchestration, and reproducibility tooling - Implement and maintain CI/CD pipelines and A/B testing infrastructure - Lead and formalize design review processes across the team - Identify architectural risks early and guide the team toward sustainable systems decisions

Requirements - 7+ years of industry experience building and operating production ML systems end-to-end - Proven track record as a key contributor on a production-grade ML system - Deep familiarity with training pipelines, serving infrastructure, and experiment management - Strong software engineering fundamentals and systems design sensibility - Experience driving design reviews and improving engineering processes - Comfort operating with high autonomy in ambiguous problem spaces - Experience with GPU-accelerated workloads and orchestration - Strong communication and collaboration skills

Nice to have - Familiarity with ML workflows involving optimization, reinforcement learning, or combinatorial problems - Experience building infrastructure for small, research-heavy teams

Benefits and work setup - Fully distributed team with high autonomy and ownership expectations - Health, dental, and vision insurance - Competitive salary and equity benefits - Unlimited paid time off - Paid parental leave - Regular team events and offsites, roughly four times per year - Equal opportunity employer, with hiring focused primarily within the US