6 analytics engineer intern jobs at 5 companies in Rialto, 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.
Regal Technology Partners: Manufacturer of mission-critical electronic systems for aerospace and defense.
Currently pursuing a Bachelor's in engineering, knowledge of manufacturing processes and lean principles, proficiency with Microsoft Office, strong analytical and problem-solving skills, ability to stand and lift up to 25 lbs.
Microsoft Excel, Microsoft Word, Microsoft PowerPoint
MicroVention: Manufacturer of neurovascular medical devices for stroke treatment.
Pursuing a Bachelor’s or Master’s in Business, Engineering, Analytics or related; strong analytical and communication skills; MS Office with Excel emphasis; ability to work cross-functional; eligible to work in the U.S. without visa sponsorship.
Howmet AerospaceNYSE: HWM: Manufactures high-performance metal components for aerospace and transportation.
Must be enrolled (Sophomore–Senior) in manufacturing/mechanical/industrial engineering or similar; basic manufacturing principles, teamwork, analytical and problem‑solving skills; ability to access export‑controlled data.
Temco LogisticsNYSE: HD: Provides last-mile delivery and installation for home appliances.
Pursuing or recently completed degree in CS, IS, Data Analytics, Engineering; strong analytical skills; basic DB/data concepts; quick learner; detail-oriented.
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.