7 applied data scientist jobs at 6 companies in Temecula, 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.
TAE Technologies: Developing commercial fusion energy and advanced power management technologies.
PhD in Physics/Applied Physics/Optical Engineering required; established experience with optical diagnostics and laser systems in plasma or accelerator environments; expertise in interferometry and Thomson scattering; strong mentoring and data-interpretation skills.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
4+ YOEPhD or Master's +4 years in CS/CE/ML or related field; programming experience in Java, C++, or Python; strong background in algorithms, optimization, data mining, distributed computing; experience with ML/deep learning and scientific publication.
California or Washington or New York or British Columbia or Ontario or Irvine
$159k-$286k/yrRemoteFull Time
AutodeskNASDAQ: ADSK: Developing software for architecture, engineering, and entertainment industries.
10+ YOE10+ years in data science/applied ML focused on product analytics and user behavior modeling; expertise in predictive modeling, instrumentation, AI evaluation, and experimentation; strong communication and technical leadership.
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
5+ YOE5+ years in ML or applied data science; expertise with agentic frameworks, SLMs, LoRA/QLoRA, token-efficient architectures; expert Python and strong SQL; Bachelor's required (Master/PhD preferred).
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
4+ YOEPhD or Master's +4 yrs in CS/CE/ML or related; programming in Java, C++, or Python; strong ML/AI/LLM background (RAG, model optimization); experience with algorithms, data structures, and large-scale systems.