Senior/staff ML Systems Engineer - Remote Eligible

Senior Or Staff ML Systems Engineer

We're looking for a Senior or Staff ML Systems Engineer to join Quilter's Placer Team and build the infrastructure that moves research from prototype to production reliably and efficiently.

The Placer is responsible for automated component placement on PCBs. This role focuses on the systems and infrastructure that support the full ML lifecycle: training pipelines, data generation and cleaning, experiment management, orchestration, serving, A/B testing, and CI/CD.

You'll be building the infrastructure that moves research from prototype to production reliably and efficiently. You'll also play a key role in systems design review and long-range architectural planning as the team scales.

This is a fully distributed team. We expect high autonomy and high ownership.

What You'll Do

• Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
• Own 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

What We're Looking For

• 5+ years of industry experience building and operating ML systems in production
• Proven track record as a key player in the success of a production-grade ML system end-to-end
• 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 within a team
• Comfort operating with high autonomy in ambiguous problem spaces
• Experience with GPU-accelerated workloads and orchestration
• Strong communication and collaboration skills

Preferred

• 7+ years of industry experience
• Familiarity with ML workflows involving optimization, RL, or combinatorial problems
• Experience building infrastructure for small, research-heavy teams

Please note : We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.

What We Offer

• Interesting and challenging work
• Competitive salary and equity benefits
• Health, dental, and vision insurance
• Regular team events and offsites (~4x / year)
• Unlimited paid time off
• Paid parental leave