4 machine learning intern jobs at 3 companies in Virginia
🚀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.
Intern - Applications, AI and Machine Learning (Fall 2026) (ET26021)
Roanoke, Virginia, United States
OnsiteTemporary, Internship
TMEIC: Develops and manufactures industrial automation and power electronics.
0+ YOEHigh school diploma; enrolled in CS/DS/Math; coursework in data analytics; problem solving; teamwork; leadership; MS Office; willing to travel domestically up to 5%; visa sponsorship not available; internship/temporary role.
CrowdStrikeNASDAQ: CRWD: Provides cloud-native endpoint protection and cybersecurity services.
Experience analyzing malware and detections, reverse engineering or malware operations, programming/scripting (Python), understanding of binary attributes, familiarity with OS internals and threat assessment.
Current PhD - Data Science Internship - Summer 2027
McLean or Cambridge or Chicago or Richmond or Plano or San Francisco or San Jose or New York
$160k-$192k/yrHybridFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
0.5+ YOECurrent PhD candidate in a quantitative field (expected by Aug 2029), continuing study during internship; ≥6 months experience with open-source data languages, machine learning, and Python/R/SQL.
Current Master's - Data Science Internship - Summer 2027
McLean or Cambridge or Chicago or Richmond or Plano or San Francisco or San Jose or New York City
$134k-$161k/yrHybridFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
0.5+ YOEPursuing a Master’s in a quantitative field (degree by Aug 2028), continuing study after internship, 6+ months experience with open-source data programming, machine learning exposure, and US in-person availability.