5 full stack ml engineer jobs at 5 companies in San Bernardino, CA
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AI Full-Stack Developer
Irvine, California, United States
$120k-$140k/yrOnsiteFull Time
Tax Relief Advocates: Resolves personal and business tax debt issues with the IRS.
3+ YOE3+ years full‑stack experience; strong React/Next.js, Node.js, Python skills; RESTful APIs and microservices; experience with Azure or GCP; ability to integrate AI/ML models into production and build secure, scalable web apps.
San Francisco or Oakland or Berkeley or Santa Ana or New Jersey or Texas or Florida or Shanghai or Hong Kong or Japan or Canada or Mexico or Germany or France or United States
$141k-$229k/yrRemoteFull Time
Collectors: Providing authentication and grading services for high-value collectibles.
6+ YOE6+ years engineering experience; strong Java (Spring Boot), React or Svelte; experience with microservices, Kafka, Kubernetes, AWS, observability tools; AI/ML tooling familiarity; strong communication and ownership.
Java, Spring Boot, React, Svelte, Kafka, Kubernetes, AWS, Datadog, New Relic, OpenTelemetry
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
Newport Beach or Irvine or San Francisco or Denver or Seattle
$165k-$220k/yrHybridFull Time
Compa: AI-powered compensation intelligence platform for enterprise teams.
5+ YOE5+ years shipping production software; proficiency in a modern web language/framework and full‑stack fluency; proven ownership of complex systems; leadership in technical decisions. AI/ML and data-product experience preferred.
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.