6 ml systems engineer jobs at 4 companies in Boulder City, NV
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Machine Learning Systems Engineer
Boston or Las Vegas or Pittsburgh or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
Requires a degree in computer science, computer engineering, or related technical discipline; strong Python and PyTorch experience; ML optimization expertise; and exceptional analytical and problem-solving skills.
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS/MS in CS or related, strong software engineering and distributed systems knowledge, proficiency in Python/Go/C++, experience with AWS and Kubernetes, familiarity with ML development lifecycle and distributed training (PyTorch, DDP) and GPU optimization.
AWS, C++, Go, Kubernetes, PyTorch, PyTorch/DDP, Python, Ray
Modern Technology Solutions, Inc.: Provides engineering, technology, and cybersecurity services for national security.
8+ YOE5+ Mgmt8+ years supporting DoD or partner agencies, advanced flight test and systems integration expertise, current Top Secret clearance with SCI eligibility, U.S. citizenship, driver's license, and a qualifying college degree.
Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), computer vision, autonomous systems, Mission Control Room (MCR), Concepts of Operations (CONOPS), Department of Defense
Astrana HealthNASDAQ: ASTH: Operates technology-powered platforms to coordinate and deliver medical care.
1+ YOEBuild and deploy production AI systems, work with clinical/claims/operational data, collaborate with clinical and operations teams; 1+ years software/ML/engineering experience; preferred technical degrees.
Boston or Las Vegas or Pittsburgh or United States
$240k-$330k/yrRemoteFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
Advanced degree or equivalent experience in CS or related field; leadership on large technical initiatives; experience with deep learning (TensorFlow/PyTorch), Python, ML for autonomous systems, and production deployment.