18 machine learning engineering jobs at 15 companies in Lake Elsinore, CA
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Machine Learning Engineer II
Diamond Bar, California, United States
$100k-$146k/yrOnsiteFull Time
Niagara Bottling: Manufactures and distributes private label bottled water and beverages.
5+ YOEBachelor's in a quantitative field required (Master/PhD preferred); strong Python and ML framework experience (PyTorch/TensorFlow); production MLOps, cloud, and industrial data experience; preferred 5+ years in ML/industrial AI.
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.
Mach Industries: Designs and manufactures autonomous unmanned aerial vehicles for defense.
Experience building ML data and training pipelines, PyTorch model training, edge deployment on Jetson-class hardware, Python and C++ proficiency, and expertise in dataset/versioning and multi-GPU training.
Layup Parts: Manufactures high-speed composite parts and tooling for aerospace.
Experience training custom ML models on large, structured geometric/spatial datasets; advanced object detection and classification; data pipeline and model deployment experience.
VeritoneNASDAQ: VERI: Provider of artificial intelligence software and media analytics platforms.
3+ YOE3+ years building and deploying ML models in production, deep Python and ML libraries proficiency, experience with LLMs/RAG, API/backend design, and working with RDBMS/NoSQL/Vector DBs.
KFC Pan EuropeNYSE: YUM: Quick-service restaurant chain specializing in fried chicken products.
4+ YOEBachelor's degree in CS/related, 4+ years developing and deploying production ML systems, proficiency in Python, message queue tech (Kafka/Pulsar/RabbitMQ), Docker/Kubernetes, strong analytical and communication skills.
Yum! BrandsNYSE: YUM: Global operator of quick-service restaurant brands.
4+ YOERequires 4+ years developing and deploying production ML solutions, proficiency in Python, message queues (Kafka/Pulsar/RabbitMQ), Docker, Kubernetes, and strong analytical and communication skills.
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.
University of California, Irvine: Public research university offering higher education and academic degrees.
2+ YOEBachelor's degree or equivalent training, 2–3 years of experience, Linux server administration and security experience, analytical and communication skills, and prior research experience.
Kinetic Automation: Automates digital vehicle maintenance and ADAS calibration using robotics.
Hands-on experience training and evaluating deep models for segmentation and detection (PyTorch); understanding vision transformers and 2D/3D data; strong Python skills.
3+ YOE3+ years in AI/ML, DSP, and deep learning; strong MATLAB/Python/C/C++; experience with PyTorch/TensorFlow; design and deploy ML models for biomedical data.
Paperless Parts: Cloud-based quoting software for custom part manufacturers.
8+ YOE8+ years in R&D/ML roles, technical degree in CS or applied math required, experience with ML lifecycle and MLOps (e.g., AWS SageMaker), strong communication and mentorship skills; US citizenship or green card required.
AI/ML experience with frameworks; Python, MATLAB, C++; data modeling including regression, classification, clustering, anomaly detection; on-site in Irvine, CA.
TensorFlow, Keras, PyTorch, scikit-learn, Python, Matlab, C++
Rivian and Volkswagen Group Technologies: A joint venture building software and cloud solutions for next-generation electric vehicles.
8+ YOEBachelor's in quantitative field,8+ years building large-scale data processing and predictive systems; expertise in geospatial analysis, statistical testing, and machine learning; proficiency with Python and SQL.