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# Software Engineer, Machine Learning

- **Company:** Overland Ai
- **Location:** Seattle, WA, United States
- **Salary:** $120,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Python (Programming Language), Machine Learning, Tensorflow, Reinforcement Learning, Robot Operating System, Pytorch, Deep Learning
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/1a8149f8-d5cd-4f6c-833f-21ecec063ef2

## About the Role

Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered., * MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems.

 * Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
 * Excellent linear algebra, probability theory, and optimization knowledge.
 * Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, 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

 * Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.

## 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., * Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python).

 * Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
 * Serve as a technical expert for the team balancing short-term deliverables and long-term directions.
 * Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.


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