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Salary: USD 120,000 - 170,000 / annual
Overland AI, founded in 2022 and headquartered in Seattle, is transforming land operations for modern defense through autonomous ground vehicles and command-and-control systems. The company has secured funding from prominent defense tech investors including 8VC and Point 72, and maintains trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, Overland AI is strengthening national security through close iteration with end users engaged in tactical operations.
You will own and scale hiring for Overland AI's machine learning, AI perception, and robotics engineering teams. This is a full-cycle recruiting role with direct impact: you will be the recruiting partner engineering leaders rely on to find ML researchers, perception engineers, motion planners, and roboticists who will build the next generation of autonomous ground vehicles.
Key responsibilities include:
- Own full-cycle recruiting for ML, AI perception, robotics, and related engineering roles, from intake and sourcing through offer close
- Partner with hiring managers and engineering leaders to define requirements, calibrate on candidates, and build hiring plans aligned with business pace
- Build and maintain strong pipelines of qualified candidates through outbound sourcing, referrals, events, and creative engagement strategies
- Develop deep knowledge of Overland AI's autonomy stack, ML research areas, and competitive landscape to credibly pitch opportunities to senior ML and robotics talent
- Use recruiting data (pipeline velocity, conversion rates, source effectiveness) to identify bottlenecks and make informed recommendations to leadership
- Drive high-quality candidate experience through clear communication, fast feedback loops, and thoughtful engagement at every stage
- Act as a trusted advisor to hiring managers on market conditions, compensation benchmarking, and candidate assessment
- Contribute to building scalable recruiting infrastructure: processes, tooling, interview frameworks, and documentation as the company grows
You bring deep experience recruiting for hard-to-fill ML and robotics positions and understand what distinguishes a strong perception engineer from a strong generalist. You will partner directly with engineering leadership to shape hiring strategy, build pipelines in competitive talent markets, and close candidates who have plenty of options.
Requirements:
- 4+ years of full-cycle recruiting experience, with a meaningful portion spent hiring for machine learning, computer vision, robotics, or related AI/autonomy roles
- Demonstrated success sourcing and closing competitive technical candidates who have multiple offers on the table
- Strong stakeholder management skills, including the ability to influence hiring decisions and build trust with technical leaders and executives
- Experience managing a high volume of open requisitions simultaneously with strong organization and follow-through
- Proficiency with ATS platforms (Rippling) and sourcing tools such as LinkedIn Recruiter, Boolean search, and referral programs
- Excellent written and verbal communication skills, with the ability to tailor your message to candidates ranging from ML PhD new grads to staff-level robotics engineers
- Comfort operating with high autonomy in an environment where processes are still being built
Desired experience:
- Experience recruiting ML engineers, perception engineers, or robotics engineers in defense tech, autonomous vehicles, aerospace, or adjacent deep-tech industries
- Experience in both agency and in-house recruiting environments
- Familiarity with cleared hiring processes or recruiting for roles that require U.S. citizenship or security clearances
- Familiarity with the ML/AI talent landscape, including understanding of relevant research communities, conferences (NeurIPS, CVPR, ICRA, RSS), and PhD hiring pipelines
- Track record of building recruiting processes from scratch at a scaling startup
