6 ml engineer jobs at 4 companies in Champaign, IL
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ML Engineer (Caesarea, HA, IL)
Caesarea, Illinois, United States
OnsiteFull Time
Hexion: Manufactures specialty resins and adhesives for industrial and construction sectors.
5+ YOE5+ years of applying ML algorithms in production; strong Python (NumPy, Pandas); experience turning research into production code; ability to work with noisy industrial data; collaborative.
DowNYSE: DOW: Manufacturer of advanced chemicals, plastics, and specialty materials.
3+ YOE3+ years ML experience, Bachelor’s degree (or 8 years relevant experience), proficiency with Databricks and Azure, Python and ML frameworks, strong ML/MLOps skills, and legal ability to work in the U.S. without sponsorship.
State Farm: Provider of auto, home, life, and health insurance.
Experience with Python, Terraform, cloud architecture (AWS), DevSecOps, AI/GenAI/LLM integration, frontend (TypeScript/Angular) and backend (Go) development; strong data and ML workflow familiarity.
Python, Terraform, APIs, JSON, React, AWS, Lambda, EC2, SQS, S3, Cloudfront, API gateway, SNS, Sagemaker, TypeScript, Angular, Go
State Farm: Provider of auto, home, life, and health insurance.
3+ YOEMaster's or PhD in analytics/engineering with 3+ years predictive modeling; Python, PyTorch; GenAI; end-to-end ML production; IDEs and cloud ML tools; strong communication.
Python, PyTorch, GenAI, AWS SageMaker, IntelliJ, VS Code, Linux
State Farm: Provides insurance policies and financial services to consumers.
3+ YOEMaster's or PhD in analytical/engineering field,3+ years predictive model experience,expertise in deep learning,GenAI,production ML lifecycle,strong communication and stakeholder skills.
Python, PyTorch, LLM, IntelliJ, VS Code, Linux terminal, AWS SageMaker
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).