14 applied ml engineer jobs at 9 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.
New York City or Santa Monica or Los Angeles or New York
HybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Experienced applied AI/ML engineer able to design, train, and deploy production models and workflows, run experiments, and own AI-driven product surfaces; must be authorized to work in the U.S. without sponsorship.
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Experience building production applied ML/LLM systems, designing evals and experiments, proficiency with Python and backend production workflows, product-oriented execution, healthcare or complex operational domain experience preferred.
StudyFetch: AI-powered platform providing interactive study tools for students.
7+ YOE7+ years building and shipping production software with deep full-stack and applied AI experience, proven production AI features, ownership of product surfaces, and familiarity with the listed web, cloud, and ML stack.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Expertise in ML-driven forecasting, capacity planning, large-scale resource optimization, and cost-model development for cloud services; strong collaboration and applied analytics skills.
ML Engineer - Evaluation Analysis, Metric and Data Strategy
Culver City or Cupertino or San Diego or Seattle
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
5+ YOEBachelor's in a quantitative field; 5+ years in applied science/data science/evaluation; strong statistical methods; Python or R; experience with production data and evaluation metrics.
Match GroupNasdaq: MTCH: Provider of a global portfolio of online dating services.
Experienced AI/product builder to prototype, ship, and iterate AI tools for legal work; strong applied ML/AI judgment, prototyping, evaluation, and ability to partner with legal, engineering, and ops teams.
Senior Manager, Applied Science, Prime Video - Content Generation Team
Culver City or Sunnyvale
$219k-$340k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
10+ YOE5+ Mgmt10+ years applied research; 5+ years managing scientists/ML engineers; 5+ years building ML models for business; PhD or Master’s +6 years; ML/NLP/IR/Analytics; Java/C++/Python.
Java, C++, Python, Machine Learning, NLP, Information Retrieval
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
7+ YOE7+ years building and deploying ML models, strong background in recommender systems, applied ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL, strong communication skills.
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.
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
7+ YOEBachelor's degree (or equivalent) in a quantitative field, 7+ years applying advanced statistical and data-science methods, Python expertise with scientific/ML libraries, experimental design, uncertainty quantification, scalable pipelines, and eligibility for Top Secret/SCI clearance.