Job Description

Employer.com is part of a family of incredible brands alongside Flawless Recruit and Recruiter.com. Together, we provide talent acquisition services to fit the unique hiring challenges of our clients. Whether they need help building recruiting processes, attracting top talent, or payrolling contractors, we can help.

Our client is an AI lab headquartered in Palo Alto, CA. . The team is approximately 160 employees as of 2026 -- lean, high-output, and scaling. This recruiter will sit at the core of their technical hiring engine. The work directly impacts product capability and the company's long-term AI research moat. This is a full-cycle technical recruiting role. The person we place will own searches end to end, partnering with engineering leadership, running process, evaluating candidates, and closing.

LOGISTICS

This role is onsite Monday, Wednesday, and Friday each week at the client's Palo Alto office. Confirm commutability and schedule alignment before advancing any candidate.

WHAT SUCCESS LOOKS LIKE IN THIS ROLE

• Partners directly with engineering leadership on technically complex, often ambiguous searches
• Understands enough about distributed systems, ML research, and AI/ML signal to evaluate candidates beyond keyword matching
• Can calibrate for quality in roles where job descriptions are loose and the bar is set by the hiring team's judgment, not a rubric
• Earns credibility with specialized technical leaders and researchers quickly
• Comfortable sitting with uncertainty on specialized searches and working through it without defaulting to volume

Qualifications

• senior technical recruiters who have worked at high-growth, mid-to-late stage AI or infrastructure-focused startups.
• direct ownership of hard technical searches in fast-moving, research-forward environments.

The recruiter must have direct full-cycle experience hiring for:

• Applied AI and ML engineering
• Research-oriented engineering roles (research engineers, applied scientists, and adjacent functions)
• Distributed systems engineering
• Infrastructure roles tied to core AI capability
• This is high-bar, relatively low-volume hiring. The person needs to be calibration-focused, not throughput-focused.

Additional Information

All your information will be kept confidential according to EEO guidelines.