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# Staff Machine Learning Engineers

- **Company:** Kodiak Robotics
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $265,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Programming, Continuous Delivery, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Software Engineering, Scripting, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Model Validation, Discretization, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT
- **Published:** September 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-machine-learning-engineer-deployment-san-francisco-ca--37969f51-613a-41c8-be1a-b57ff79016ba

## About the Role

* MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
 * 6+ years experience deploying machine learning or deep learning systems in production environments.
 * Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
 * Experience working with large-scale distributed training systems.
 * Solid understanding of optimization, and machine learning fundamentals.
 * Strong software engineering fundamentals including testing, debugging, and system design.
 * Ability to work collaboratively across teams to solve complex autonomy and robotics challenges., Analysis Skills, Artificial Intelligence (AI), Business Operations, C++ Programming Language, Cargo/Freight, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Cross-Functional, Data Modeling, Debugging Skills, Deep Learning, Dental Insurance, Disability Insurance, Distributed Computing, Equal Employment Opportunity (EEO), Flexible Spending Accounts, GPU (Graphics Processing Unit), Government, Health Plan, Incentive Programs, Kernel Programming, Large-Scale Systems, Life Insurance, Machine Learning, Machine Tool, Model Validation, Patents, Performance Management, Process Improvement, Production Systems, Psychiatry and Mental Health, Python Programming/Scripting Language, Regulations, Robotics, Sales Closing Skills, Scalable System Development, Simulation, Software Engineering, System Operations, Team Player, Test Plan/Schedule, Testing, Trucking, United States Department of Defense (DoD), Vehicle Fleets, Vision Plan

## Description

* Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
 * Help identify and achieve parity between onboard and deployed offboard models using validation on HIL
 * Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
 * Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
 * Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
 * Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.