Software Engineer - Machine Learning, All Levels

About Overland AI

Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.  

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.   

Role Summary

Overland AI is building autonomous ground vehicles that navigate the world's hardest terrain without GPS, roads, or prior maps. Our OverDrive autonomy stack is already operating under contract with DARPA, the U.S. Army, Marine Corps, and Special Operations Command, and the problems we're solving don't have textbook answers yet.

We're looking for machine learning experts who want to work on perception, planning, and prediction in environments where the rules of the road literally don't exist.

What You'll Do

• 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.

Desired Experience & Qualifications

• 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. 

Location

The preferred location for this position is Seattle, WA.

Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered.

Compensation And Benefits
Pay Range:

$150,000 - $300,000 annually

Actual level and base salary will bedeterminedon a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Overland AI believes in creating a work environment that you look forward to embracing every day. 

Benefits Include:

• Equity compensation
• Best-in-class healthcare, dental and vision plans. 
• Flexible PTO
• 401k with company match
• Parental leave
• Monthly wellness stipend
• One-time workplace & productivity reimbursement

Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.

This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.

Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [[email protected]] to request an accommodation.