5 machine learning engineer jobs at 4 companies in Vancouver, WA
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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
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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.
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
5+ YOEBS in CS/EE/Math or related STEM, 5+ years software development experience, 2+ years ML engineering or research, proficient in Python and LLM architectures, experience with model training and multi-GPU debugging.
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
10+ YOEBachelor's degree and 10+ years in relevant industry; MSEE preferred; knowledge of machine learning, Python, ASIC/SoC power analysis, Verilog/SystemVerilog; strong communication.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
10+ YOEBachelor's degree and 10+ years in industry; experience with SOC power analysis, modeling, optimization, and automation; familiarity with machine learning, Python, Verilog/SystemVerilog; ASIC power and SOC design flow experience.
Python, Verilog, SystemVerilog, Machine Learning, Power analysis tools, Power modeling