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# Machine Learning Engineers

- **Company:** Kodiak Robotics
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $265,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Infrastructure, Data Stores, Software Debugging, Python (Programming Language), SQL Databases, Large Language Models, Data Lakes, Information Technology, Lidar, Data Pipelines
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/49d07b9a-8ba6-407f-84c9-13439c43acec

## About the Role

* MS or PhD in Computer Science, Robotics, Engineering, Mathematics, or a related technical field, and 3+ years of practical experience working with ML teams.
 * Proficiency in Python
 * Proven ability to build scalable ELT pipelines and data models using SQL and modern data lakes using automated workflow orchestration tools such as Apache Airflow / MetaFlow
 * Specific experience building data infrastructure for ML / AI teams, ideally with camera, lidar, radar, etc in the autonomy space.
 * Strong software engineering fundamentals including testing, debugging, and system design.
 * Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

## Description

This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment.
In this role, you will:

 * Work with ML team to automate existing and new pipelines using AirFlow/Metaflow like orchestration frameworks.
 * Utilize different auto generated / manually labeled signals to stratify datasets to dedup data and improve the information content of ML dataset.
 * Improve and support the metrics dashboard and the underlying datastore to allow it to be scalable for growing volume of tests, performant and cost effective.
 * Be the advocate for additional tooling to simplify and improve current processes to become more powerful and automated . This includes but is not limited to dataset curation and mining, evaluation and problem discovery, labelling and triage including utilizing LLM's and offboard models.
 * Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.


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