7 ml systems engineer jobs at 6 companies in Carpinteria, 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.
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
Experience with large-scale ML systems and GPU computing; strong Python and C++/CUDA skills; familiarity with vLLM, PyTorch, SGLang, Ray; experience deploying and optimizing LLMs, profiling and benchmarking inference.
Software Development Engineer IV - Algorithms and Scientific Data
Santa Barbara or United States
$119k-$190k/yrHybridFull Time
BrukerNASDAQ: BRKR: Manufactures high-performance scientific instruments and analytical diagnostic solutions.
5+ YOE5+ years professional experience in production software or scientific algorithms; 3+ years Windows C#/C++ development; strong signal/image processing, numerical methods or ML; experience with multithreaded systems and algorithm validation.
C++, STL, C#, .NET, WPF, Python, GitHub Copilot, Visual Studio Code, Microsoft Visual Studio, C++/CLI, MFC, GitHub
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
2+ YOEDeep expertise in ML/Generative AI, MLOps/LLMOps, cloud platforms, and scalable system architecture; proven track record delivering production-grade ML systems; advanced proficiency in Python and modern ML frameworks; degree + experience combinations required.
AeroVironmentNASDAQ: AVAV: Designs and manufactures unmanned aircraft and tactical missile systems.
20+ YOEActive Top Secret/SCI with polygraph, 20+ years SWE experience, bachelor’s in CS or equivalent, strong Java and Python skills, SDLC and Agile experience, familiarity with ML/AI, distributed systems, cloud, containers, and software tooling.
Santa Barbara or San Diego or San Francisco or Denver or Dallas or Atlanta or Chicago or Washington, D.C.
HybridFull Time
AppFolioNASDAQ: APPF: Provides cloud-based property and investment management software.
Proven experience building production ML systems at scale, architectural leadership, training/fine-tuning LLMs, experience with LangChain/LangGraph and RAG patterns, AI safety/authorization, and production reliability discipline.