6 months ago
Remote, United StatesSenior / Staff+
Base Salary
$180k - $200k/yr
Responsibilities
- Design, build, and maintain ML infrastructure for training, evaluation, serving, and monitoring
- Own data pipelines for 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 sustainable systems decisions
Requirements
- At least 5 years of industry experience building and operating ML systems in production
- A proven track record contributing materially to 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 judgment
- Experience driving design reviews and improving engineering processes within a team
- Experience with GPU-accelerated workloads and orchestration
- Preferred: 7 or more years of industry experience
- Preferred: familiarity with ML workflows involving optimization, reinforcement learning, or combinatorial problems
- Preferred: experience building infrastructure for small, research-heavy teams
- Strong communication and collaboration skills
Benefits
- Fully distributed work arrangement with high autonomy and ownership
- Health, dental, and vision insurance
- Regular team events and offsites approximately four times per year
- Unlimited paid time off
- Paid parental leave
- Hiring primarily within the United States, with occasional exceptions
Categories
About Quilter
Quilter builds AI-powered software that automates printed circuit board (PCB) layout from circuit schematics into fab-ready designs for electronics and hardware engineering teams. It sells enterprise software that lets engineers generate and validate multiple board variants quickly, integrating physics checks to reduce redesigns. Founded in 2019 and headquartered in Los Angeles, the company is privately held.