3 ml infrastructure engineer jobs at 2 companies in Ault, CO
🚀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.
Spring or Fort Collins or Chippewa Falls or Bloomington
$144k-$315k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
10+ YOE3+ MgmtBachelors in CS/Engineering, 10+ years product management experience, 3–5+ years people management, experience with HPC/AI/ML or infrastructure software, strong leadership and cross-functional collaboration skills.
Adjunct Instructor - Applying AI in Enviro Engr Practice & AI Leadership and Digital Transformation for Civil & Environmental Engineers
Fort Collins, Colorado, United States
$10k-$13k/yrHybridPart Time
Colorado State University: Public research university offering undergraduate and graduate degree programs.
BS and MS in civil/environmental engineering or related field; ability to teach AI/ML for environmental challenges and modern data infrastructure; U.S. work authorization required; background check required.
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product experience with 5+ years leading product teams in AI/ML or data infrastructure. Experience with AI platforms, model serving, GPU ecosystems, GTM and monetization.