Remote Staff ML Systems Engineer - Equity & Unlimited PTO

Devconnectplatform; United States; A distancia; USD 180.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

Unlimited PTO

Equity

Descripción de la vacante

Quilter is seeking a Senior or Staff ML Systems Engineer to join the Placer Team in a fully remote role within the United States. You will design, build, and maintain ML infrastructure supporting training, evaluation, serving, and monitoring, with ownership of data pipelines, experiment tracking, and CI/CD tooling.

The role emphasizes automation, reliability, and scalable ML workflows for PCB design automation.

Formación

• 7+ 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.

Responsabilidades

• 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.

Conocimientos

ML infrastructure

Training pipelines

Serving infrastructure

Experiment management

CI/CD

Descripción del empleo

Quilter is seeking a Senior or Staff ML Systems Engineer to join the Placer Team in a fully remote role within the United States. You will design, build, and maintain ML infrastructure supporting training, evaluation, serving, and monitoring, with ownership of data pipelines, experiment tracking, and CI/CD tooling.

The role emphasizes automation, reliability, and scalable ML workflows for PCB design automation.