Founding Technical Recruiter

About the Company

Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person. The team consists of PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, with industry experience from Apple, Meta, Amazon AGI, and Discord.

Responsibilities

• Own full-cycle recruiting for AI research and engineering roles, from sourcing through close
• Build deep, high-signal pipelines across AI labs, research universities, startups, and frontier engineering teams
• Proactively source for hard-to-fill roles including ML researchers, multimodal modeling specialists, and ML systems engineers
• Partner with founders and hiring managers to calibrate role requirements, interview loops, and hiring bars
• Drive debriefs, references, offer strategy, and close plans for high-priority candidates
• Build the recruiting operating layer including ATS hygiene, sourcing systems, and process improvements

Requirements

• Strong full-cycle technical recruiting experience in a high-bar environment (AI lab, top-tier tech, or fast-moving startup)
• Demonstrated success hiring ML researchers, research scientists, ML engineers, or infrastructure engineers
• Proven track record of sourcing and closing candidates directly
• Evidence of winning competitive candidates against larger companies or higher-cash offers
• Existing network in AI, ML, research, or deep technical engineering communities
• Excellent candidate judgment and communication skills

Preferred Qualifications

• Prior in-house recruiting experience at a frontier AI lab or highly selective engineering organization
• Experience hiring PhDs or candidates from top academic programs
• Familiarity with AI research hiring cycles (NeurIPS, ICML, ICLR, CVPR)
• Experience recruiting international candidates and managing visa support
• Experience building or scaling a recruiting function from early stage through Series B
• Proficiency with Greenhouse, Gem, Ashby, or LinkedIn Recruiter