6 model deployment engineer jobs at 6 companies in Stockton, CA
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Physical AI Engineer – Simulation & Synthetic Data
Fremont or United States
HybridFull Time
TD SYNNEXNYSE: SNX: Distributes information technology products and provides supply chain services.
5+ YOE5+ years in robotics/RL/simulation/applied ML; hands‑on RL/imitation learning, simulation agent training, NVIDIA Omniverse/Isaac Sim/USD experience preferred; foundation model integration; strong Python and deployment experience.
NVIDIA Omniverse, Isaac Sim, USD, GPT, Claude, Opus, Python
BlackLineNASDAQ: BL: Provides cloud-based financial close and accounting automation software.
Extensive experience building and operating ML/AI production systems, designing scalable data pipelines, distributed training, model deployment, CI/CD, observability, and cloud infrastructure.
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.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
2+ YOEMaster's in CS or 2+ years industry experience; strong ML/DL expertise, data processing, algorithms, C++ and Python; experience with model deployment and optimization for real-time systems.
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.
CoherentNYSE: COHR: Manufactures lasers, engineered materials, and optical networking components.
2+ YOEBS (5 yrs) or MS/PhD (2 yrs) in EE/CS/Physics/Photonics; proven AI/ML model development and deployment experience; proficiency with TensorFlow, PyTorch, scikit-learn, Python, C/C++; cloud and on-prem inference experience; photonics/manufacturing domain knowledge preferred.