2 applied ml engineer jobs at 2 companies in Oregon

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, Elasticsearch, LLMs
1mo
Save
Mark Applied
Hide
Senior Video Compression Development Engineer, AWS Elemental, Elemental Video Engine
Santa Clara or San Jose or Portland or Vancouver
$168k-$262k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years professional software development and system design experience; experience leading/mentoring; video/image processing and compression expertise; applying ML/Generative AI; familiarity with SIMD (SSE/AVX2/NEON).
VVC, AV1, HEVC, AVC, SSE, AVX2, NEON, ML, Generative AI, AWS, MediaLive, MediaConvert
4d
Save
Mark Applied
Hide
Data Scientist, Principal
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yr HybridFull Time
Ascendiun
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.
Python, PyTorch, TensorFlow, LangChain, LangGraph, SQL, Spark, Azure, Google Cloud, AWS