Principal ML Engineer: Scale Production ML Systems

Scovai; Seattle (WA); Hybrid; USD 180,000 - 340,000; Full time

Job summary

Scovai in Seattle is seeking a Principal Machine Learning Engineer to act as the senior technical authority for ML systems in a hybrid environment. This is an individual-contributor role focused on setting technical direction without people management.

You will design and build large-scale training and inference systems, own model architecture decisions for high-impact ML products, and drive MLOps practices across the engineering organization, optimizing latency, cost, and reliability.

Qualifications

• Experience shipping large-scale ML systems in production.
• Ability to define deployment, monitoring and retraining standards for ML pipelines.
• Strong collaboration with applied science and platform teams across the organization.

Responsibilities

• Design and build large-scale training and inference systems.
• Own model architecture decisions for high-impact ML products.
• Drive best practices for experimentation, evaluation, and MLOps.
• Mentor senior and staff engineers and participate in architecture reviews.
• Evaluate build-vs-buy decisions for ML infrastructure and stay current with state-of-the-art DL techniques.

Skills

ML system design

Production ML engineering

MLOps

Model deployment

Latency optimization

Tools

GPU clusters

Feature stores

Open-source ML frameworks

Job description

Scovai in Seattle is seeking a Principal Machine Learning Engineer to act as the senior technical authority for ML systems in a hybrid environment. This is an individual-contributor role focused on setting technical direction without people management.

You will design and build large-scale training and inference systems, own model architecture decisions for high-impact ML products, and drive MLOps practices across the engineering organization, optimizing latency, cost, and reliability.