20 machine learning developer jobs at 9 companies in Export, PA
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Machine Learning Engineer
Pittsburgh, Pennsylvania, United States
OnsiteFull Time
Shelfmark: AI-powered automated visual inspection for manufacturing quality control.
Experience training, evaluating, and deploying deep learning and computer vision models (PyTorch/TensorFlow); expertise in anomaly detection, image processing, and edge model optimization.
Staff Machine Learning Engineer - News, Books, and Stocks Team
Pittsburgh, Pennsylvania, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience in machine learning and client engineering, collaborating on distributed teams to solve hard problems and build next-generation app features.
Dearborn or Palo Alto or Pittsburgh or United States
RemoteFull Time
Latitude AI: Developing automated driving technology for next-generation Ford vehicles.
4+ YOEBachelor's (4+ years) or Master's (2+ years) in CS/EE/Robotics, 4+ years ML development experience, multi-object tracking and computer vision expertise, experience shipping perception software, proficiency with PyTorch, Python, and C++.
Stack AV: Develops autonomous driving technology for the commercial trucking industry.
7+ YOEBachelor's degree in CS/Engineering, 7+ years building and operating backend distributed systems, experience with ML inference serving, GPU-based inference, C++/Go/Rust/Python, deep learning frameworks and high-performance networking.
Morris Group, Inc.: Distributor of CNC machine tools and industrial automation equipment.
3+ YOE2 year technical degree; 3+ years machine programming and setup; Fanuc and Mitsubishi controls; CAM programming; G&M code; travel up to 80/20; willingness to learn other machines (Okuma, Tsugami).
University of Pittsburgh: Public research university providing undergraduate and graduate education.
PhD required in a quantitative discipline, fluency in Python, experience with high-throughput omics data, strong statistics/machine learning background, and experience developing AI/deep learning models for omics analysis.
Software Engineering Institute: Developing software and AI engineering for national security.
BS in machine learning, cybersecurity, statistics, or related field; experience in AI/ML and cybersecurity; familiar with AI/ML tools; proficient in Python, C/C++; able to travel; able to obtain DoD security clearance.
Numpy, PyTorch, TensorFlow, ART, Ghidra, IDA Pro, Python, C/C++