9 machine learning data engineer jobs at 8 companies in Hemet, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
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.
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.
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++
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
1+ YOEBachelor's degree in Mechanical Engineering, Aerospace Engineering, or Computer Science. 1-3 years data analytics experience in automotive/engineering. Proficiency in Python, PySpark, Matlab, SQL; knowledge of machine learning and fatigue life estimation methods.
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.
Boston or New York City or Santa Monica or Washington or California or Los Angeles or San Francisco or Philadelphia or Orange County or San Diego
$134k-$237k/yrOnsiteFull Time
Goodwin Procter: Legal services for innovators and investors in high-growth industries.
Bachelor's degree required; experience with Microsoft Azure tools (Power Automate, Power Desktop, Forms, Azure AI Studio), Microsoft Azure Machine Learning, Microsoft Dynamics CRM, and Microsoft Excel; strong attention to detail and data management skills.
Microsoft Power Automate, Microsoft Power Desktop, Microsoft Forms, Microsoft Azure AI Studio, Microsoft Azure Machine Learning, Microsoft Azure, Generative AI (GenAI), Microsoft Dynamics CRM, Microsoft Excel