Senior Technical Recruiter

Job description

Job responsibilities

• 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 that match the pace of the business.
• 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 so you can credibly pitch the opportunity to senior ML and robotics talent.
• Use recruiting data (pipeline velocity, conversion rates, source effectiveness) to identify bottlenecks and make informed recommendations to hiring managers and leadership.
• Drive a 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 the buildout of scalable recruiting infrastructure: processes, tooling, interview frameworks, and documentation as the company grows.

Job 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 (we use 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.
• Experience recruiting ML engineers, perception engineers, or robotics engineers in defense tech, autonomous vehicles, aerospace, or adjacent deep-tech industries.