5 entry level machine learning engineer jobs at 5 companies in Illinois
🚀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.
Shirley Ryan AbilityLab: Provides inpatient rehabilitation care and clinical research services.
Bachelor-level education in CS/engineering/data science, foundational ML knowledge, familiarity with Git, Python, TensorFlow or PyTorch, ability to work under supervision and collaborate.
UIUC Research Park Intern - Machine Learning Compiler
Champaign, Illinois, United States
$25-$40/hrOnsitePart Time
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
Must be a University of Illinois Urbana-Champaign student pursuing BS/MS/PhD in engineering-related field; strong C++ and Python; knowledge of ML compilation, deep learning, computer vision or NLP; strong math and software fundamentals; available 20 hrs/wk (Fall/Spring) and 40 hrs/wk (Summer).
Predoctoral Appointee – Machine Learning for Viral Glycosylation Prediction
Lemont, Illinois, United States
$58k-$97k/yrOnsiteFull Time
Argonne National Laboratory: Conducts scientific research and develops advanced energy technologies.
Master's degree completed, experience developing ML/DL models, proficiency in Python and scientific programming, experience with biological sequence/structural data, familiarity with ML frameworks and software engineering best practices.
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yrOnsiteFull Time
WorldQuant: Develops systematic investment strategies through quantitative research and data.
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.