CareerPlan

Principal Machine Learning Engineer - RAI

United States, Washington, RedmondFull-time2026-10-20 → 2026-11-10

Core

Design and build large-scale systems for machine learning training, evaluation, inference, and production operation, transforming research innovations into reliable, scalable product capabilities.

Role type

Principal Machine Learning Engineer (Responsible AI)

Builds

Reusable infrastructure, services, and components supporting multiple models and workloads

Domain

Machine Learning Infrastructure / Distributed Systems

Deliverable

production ML models

Required skills

Machine learning system design, distributed systems, software architecture, system design, large-scale workload operations, AI safety, Responsible AI, technical direction, mentorship

Preferred skills

Experience building ML platforms for multiple teams, driving cross-team architecture, solving technically ambiguous problems

Technologies

C, C++, C#, Java, JavaScript, Python

Responsibilities

Design and implement critical components for ML training and inference, partner with scientists to integrate modeling advances, drive architectural decisions, incorporate security and privacy considerations, provide technical direction and mentorship

Seniority

Principal, hands-on IC with strategy & mentorship