3 applied ml engineer jobs at 2 companies in Davis, CA
🚀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.
Senior Applied AI Engineer (Semiconductor Manufacturing)
Boise or Folsom
$114k-$286k/yrOnsiteFull Time
Micron TechnologyNASDAQ: MU: Designs and manufactures semiconductor memory and data storage solutions.
5+ YOESenior AI/ML engineer with 5+ years experience (Bachelor’s) or 2+ years (Master’s) or PhD in a related field; strong Python/R, ML/DS, data engineering, and communication skills.
Senior Applied AI Engineer (Semiconductor Manufacturing)
Boise or Folsom
$114k-$286k/yrOnsiteFull Time
Micron TechnologyNASDAQ: MU: Manufacturer of semiconductor memory and data storage products.
2+ YOEBachelor's (5+ yrs) or Master's (2+ yrs) or PhD in relevant field; experience building end-to-end data science solutions; proficiency in Python or R; strong communication and presentation skills.
Python, R, Large Language Models (LLMs), retrieval-augmented generation (RAG), ML Ops
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/yrHybridFull Time
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.