> Markdown version of [/jobs/ext/1469940-staff-machine-learning-engineer-deployment](https://www.wearedevelopers.com/jobs/ext/1469940-staff-machine-learning-engineer-deployment). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Machine Learning Engineer - Deployment

- **Company:** Kodiak Robotics
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $265,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/46527be9-4e61-45cf-a3fd-4848aee6fcdc

## 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.

## 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.


## Related Videos

- [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale)
- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)