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# Software Engineer - ML Platform

- **Company:** Overland Ai
- **Location:** Seattle, United States
- **Salary:** $120,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Batch Processing, BigQuery, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Stores, Data Visualization, Middleware, Python (Programming Language), PostgreSQL, Machine Learning, Software Systems, Data Processing, Data Storage Technologies, Apache Spark, Deep Learning, Model Validation, Free and Open-Source Software, Machine Learning Operations, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://startup.jobs/software-engineer-ml-platform-overland-ai-company-10069088

## About the Role

* Strong programming skills in Python and/or C++, including unit and integration testing
 * Strong understanding of data processing pipelines for training ML models
 * Experience with batch processing tools, such as Spark, Beam, Ray, etc.
 * Experience with data stores and databases, such as MinIO, Postgres, Redshift/BigQuery, etc.
 * You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
 * Ability to obtain and maintain a DOD Security Clearance.

Preferred

 * Prior industry experience in a similar software infrastructure or MLOps team
 * Prior experience with ROS or other robotics middleware
 * Contributions to any related open source software project

## Description

Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.

In this role, you will:

 * Design and implement Overland AI's infrastructure to enable training, evaluating, and deploying machine learning/deep learning models for autonomous vehicles, including:
*

 + Writing software to enable the fast curation and creation of high-quality labels for various robotics tasks using state-of-the-art AI and human feedback.
 + Design and implement data processing pipelines, dashboards, and visualization tools for model evaluation and dataset insights.
 + Design and implement distributed workflows, including data processing, training, and evaluation (on-prem and cloud).
 * Be responsible for on-prem and cloud infrastructure including data storage, compute resources and access.
 * Leverage CI/CD practices to make the machine learning lifecycle efficient and reproducible.
 * Collaborate closely with experts in Perception and Behavior Planning.