6 software machine learning engineer jobs at 6 companies in Stockton, CA
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Machine Learning Engineer
Milpitas, California, United States
$174k-$200k/yrOnsiteFull Time
UnitX: Builds AI-powered robotics for automated visual inspection in manufacturing.
3+ YOEBachelor's in CS/Math/Statistics (or equivalent), 3+ years related experience, 3+ years hands-on deep learning, ML pipelines, sensor fusion, computer vision, real-time inference optimization, and strong communication skills.
Velo3DNASDAQ: VELO: Manufacturer of advanced metal 3D printers and software.
3+ YOEBachelor's in CS/EE/Applied Math (advanced preferred), 3+ years building ML models, experience with computer vision and time-series ML, strong Python and PyTorch skills, production ML pipelines and deployment experience, ability to communicate technical tradeoffs.
Articul8: Builds and deploys secure generative AI platforms for enterprises.
BS/MS/PhD in computer science or related, proficiency with deep learning frameworks (e.g., PyTorch), Python, experience with ML for text/vision, strong distributed systems and large-scale data pipeline expertise (Ray, Docker, Kubernetes).
Milpitas or San Francisco or New York or Washington
$216k-$281k/yrHybridFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
3+ YOERequires a bachelor's degree and 8 years, master's and 6 years, or PhD and 3 years of related experience; expertise in machine learning models, architectures, evaluation, deployment, and CI/CD.
Software Manager, Machine Control & Distributed Computing
Milpitas, California, United States
$167k-$285k/yrOnsiteFull Time
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
Proven software engineering and leadership skills; strong in C#, C++, Java, Python; design and architectural patterns; HPC/GPU/CPU familiarity and basic machine learning; excellent communication and problem-solving; semiconductor experience preferred.
DeepRoute.ai: Develops full-stack autonomous driving software and VLA models.
2+ YOEMaster's in Mechanical Engineering (or related) required; 2+ years in planning algorithms and autonomous driving software systems; proficiency in C++, Python, Machine Learning, Git, and simulation tooling.