Lead Technical Recruiter - AI/ML

Why RoboForce

RoboForce is an AI robotics company building Physical AI–powered Robo-Labor systems for dull, dirty, and dangerous work. Our robots are designed to operate in complex, unstructured industrial environments, with a focus on real-world deployment and scalability.

We are looking for a Lead Technical Recruiter - AI/ML who will drive full-cycle recruitment for high-impact AI/ML roles, ensuring an exceptional employee experience.

Responsibilities

• Lead full-cycle recruiting for AI/ML research, Foundation Models, VLA (vision-language-action models), Perception, Simulation, and ML Infra roles.
• Source top AI talent from major conferences such as NeurIPS, ICLR, ICML, CVPR, CoRL, RSS, and ICRA.
• Identify candidates through papers, citations, arXiv, Google Scholar, and leading academic labs and research groups.
• Build strong pipelines of AI/ML talent from top universities, research institutions, and advanced industry AI teams.
• Partner with engineering leadership to define technical signals, interview structure, and evaluation benchmarks.
• Manage fast-moving AI/ML pipelines with clear communication and an exceptional candidate experience.
• Strengthen RoboForce’s talent brand across AI/ML and robotics communities

Requirements

• 5+ years of technical recruiting with deep focus on AI/ML or robotics AI.
• Proven ability to engage and hire AI/ML candidates from top conferences, research publications, and academic labs.
• Strong experience sourcing through papers, arXiv, citations, and research channels, not only traditional platforms.
• Ability to assess research-quality resumes, publication records, and technical depth.
• Skilled in building pipelines for high-scarcity AI talent and partnering with engineering leads on highly technical hiring processes.
• Highly organized, strong communicator, and effective in a fast-paced deep-tech environment.
• Proficient with ATS systems, sourcing tools, and research-oriented workflows.
• Prefers 5 days/week in-office collaboration with the teams, with remote flexibility available.

Bonus Qualifications

• Networks across AI/ML labs, conferences, and open-source communities.
• Familiarity with robot learning, 3D perception, multimodal models, simulation, or autonomy.
• Experience hiring within high-growth deep-tech or robotics startups.

Benefits

• Competitive stock options/equity programs.
• Health, dental, and vision insurance, 401(k) plan.
• Visa sponsorship and green card support for qualified candidates.
• Lunches and dinners, a fully stocked kitchen, and regular team-building events.