4 ml infrastructure engineer jobs at 4 companies in Everson, WA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
RemitlyNASDAQ: RELY: Provides digital cross-border money transfer services for global customers.
8+ YOE8+ years in production app development (Go or Java); 2+ years on platform/infrastructure; experience with containers; CI/CD tools; cross-team collaboration; ML infrastructure experience.
Engineering Manager, Machine Learning Platform and Infrastructure - North Vancouver, British Columbia, Canada
North Vancouver, British Columbia, Canada
$150k-$200k/yrOnsiteFull Time
Koch Inc.: Operates global manufacturing, refining, and industrial technology businesses.
5+ YOE2+ Mgmt5+ years in software/infrastructure/data engineering; 2+ years leading technical teams; deep AWS/Kubernetes knowledge; Python; familiarity with the ML lifecycle.
Python, AWS, Kubernetes, MLOps, Data Science tools
Software Development Engineer , Amazon Customer Service
Vancouver, British Columbia, Canada
$115k-$192k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years software development, 2+ years system design/architecture, programming experience, experience with data infrastructure/ML platform design, strong communication and critical thinking.