5 entry level ml engineer jobs at 4 companies in Hemet, 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.
2+ YOEBachelor's in a technical field required; 2+ years algorithm or signal processing experience; strong skills in DSP, statistical analysis, MATLAB, Python, and C/C++; experience with data analysis, ML, and regulated medical environments preferred.
Astrana HealthNASDAQ: ASTH: Operates technology-powered platforms to coordinate and deliver medical care.
1+ YOEBuild and deploy production AI systems, work with clinical/claims/operational data, collaborate with clinical and operations teams; 1+ years software/ML/engineering experience; preferred technical degrees.
ETAP: Electrical power system modeling and analysis software solutions.
1+ YOEMaster's or PhD in EE/Power/CS/AI, strong power systems knowledge, hands-on Python and C++/C# experience, ML/LLM experience, 1+ years relevant experience, collaborative with strong problem-solving skills.
Esri: Developing software for digital mapping and spatial data analysis.
2+ YOE2+ years professional software development; proficiency in Python and working knowledge of C++ or .NET/C#; experience with AI/ML integration, computer vision or 3D graphics, APIs, and strong problem-solving skills; Bachelor’s in CS or related STEM.
Data Engineering Intern, AI & Analytics - Fall 2026
Palo Alto or Irvine
$45-$51/hrOnsiteInternship, Full Time
Rivian and Volkswagen Group Technologies: A joint venture developing software-defined vehicle technology and AI-driven connectivity solutions.
Currently pursuing an MS or PhD in CS/ML/EE or related field; strong Python skills, experience with PyTorch or TensorFlow, solid ML/deep learning and reinforcement learning fundamentals, and familiarity with multimodal/foundation models.