4 ml platform engineer jobs at 3 companies in Gresham, OR
🚀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.
Santa Clara or Austin or Westford or United States or Hillsboro or Durham
$152k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOEBS/MS in CS or Engineering (or equivalent), 5+ years software/platform engineering including 3+ years in ML infrastructure or distributed systems, strong coding in Python/C++/Rust, experience with Docker, Kubernetes, GitLab CI, Linux, and AIOps/Agentic AI.
Santa Clara or Westford or Austin or Hillsboro or Durham or United States
$152k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
5+ YOEBS/MS in CS or engineering (or equivalent), 5+ years software/platform engineering with 3+ years in ML infra or distributed systems, strong coding in Python/C++/Rust, Docker, Kubernetes, GitLab CI, Linux experience.
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data
Prodapt: Provides digital engineering and IT consulting services for telecom.
3+ YOEBachelor's in CS/Data/IS with 3 years experience; 3 years with GenAI (LLMs, LangChain, Hugging Face), AI/ML (Scikit-learn, TensorFlow, PyTorch, etc.), MLOps, data engineering, BI tools, cloud platforms; domestic travel ~10%; remote in U.S. allowed.