4 junior machine learning engineer jobs at 3 companies in Jackson, MI
🚀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.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
May Mobility: Develops and operates autonomous vehicle and robotaxi services.
2+ YOE2+ years building ML-oriented infrastructure or distributed systems; proficiency in C++, Python, PyTorch, Linux; experience with ML training pipelines, CI/CD, Terraform, and large-scale data/model parallelism.
Machine Learning Engineer II - Autonomous Driving Performance Evaluation
United States or Ann Arbor
$172k-$210k/yrRemoteFull Time
May Mobility: Develops and operates autonomous vehicle and robotaxi services.
2+ YOE2+ years building ML evaluation/metrics systems, proficiency in Python (NumPy/Pandas) and Linux, strong quantitative and ML fundamentals, experience with model evaluation, data-centric ML methods, and autonomous driving concepts.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
1+ YOEMaster's in EE/CE/CS/Robotics (or equivalent) and 1 year related experience; experience with C++, model-based development, machine learning, real-time testing, and system-level collaboration; up to 10% travel.