Staff ML Systems Engineer

Quilter; Poland; Remote; PLN 320,000 - 460,000; Full time

Benefits offered by this job

Competitive salary and equity benefits

Health, dental, and vision insurance

Unlimited paid time off

Regular team events and offsites

Team events

Job summary

A leading technology firm is seeking a Senior or Staff ML Systems Engineer to join their Placer Team. In this critical role, you will design and build the machine learning infrastructure to manage data pipelines, implement CI/CD practices, and ensure efficient production of ML models. Candidates should have over 5 years of experience in ML system operations and be adept at navigating ambiguous environments. Competitive salary, equity benefits, and unlimited paid time off are offered.

Qualifications

• 5+ years of experience building and operating ML systems in production.
• Proven track record with end-to-end production-grade ML systems.
• Deep familiarity with training pipelines and serving infrastructure.

Responsibilities

• Design, build, and maintain ML infrastructure across various phases.
• Own data pipelines and oversee validation and versioning.
• Lead design review processes and identify architectural risks.
• Implement and maintain CI/CD pipelines and A/B testing infrastructure.
• Lead design reviews and guide team toward sustainable architectures.
• Identify architectural risks early and steer decisions.

Skills

Building ML systems

Data generation and cleaning

CI/CD pipelines

Experiment management

Strong communication

Systems design

Autonomy

Education

Bachelor's degree in CS/EE

Tools

GPU systems

PyTorch

Kubernetes

Docker

Job description

About Quilter

At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time‑keeping task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high‑performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades‑old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full‑speed toward our goal.

No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:

1. Focus on the mission
2. Build great things that help humans
3. Demonstrate grit
4. Never stop learning
5. Pursue excellence

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 Role

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 Youʼll 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 Weʼre 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

Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.