7 ml infrastructure engineer jobs at 5 companies in Oxnard, 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.
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.
Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
Culver City, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Technical leadership in GenAI and agentic systems, experience with large-scale LLM systems, RAG, agentic workflows, automation, orchestration and cross-functional collaboration with data and infrastructure teams.
ImmunityBioNASDAQ: IBRX: Develops next-generation immunotherapies for cancer and infectious diseases.
7+ YOE7+ years security engineering; cloud security; container orchestration; AI/ML security; working with regulated environments; collaboration with DevOps and AI teams.
Sr. Machine Learning Infrastructure Engineer, Creator Studio
Culver City or Cupertino
HybridFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEBS/MS in Computer Science or related field; 3+ years of experience; Python and SQL; strong software engineering and data modeling skills; ML workloads experience; collaboration with ML teams.
2+ YOE2+ years software engineering experience in production; product/design experience; strong communication; experience with data modeling, ETL, APIs, frontend/backend, hardware integration, ML or infrastructure.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years TPM experience with software engineering teams; 7+ years working with engineering; experience delivering complex technical programs, infrastructure and multimedia systems, roadmap execution, cross-functional coordination, and senior leadership communication. AI/ML experience preferred.