Senior Technical Recruiter AI

Hybrid work model: 3 days in office (San Francisco, CA). Shift: 8:00 AM – 5:00 PM, Monday through Friday. Temporary-to-hire, full-time role with an estimated duration of 6 months.

About the Role

Full-cycle AI recruiting partner for Sr. Director+ leadership. Responsibilities include deep sourcing, crafting complex offers, and closing elite ML/AI talent in a competitive landscape.

Responsibilities

• Manage the complete talent acquisition life cycle—from kick-off strategy meetings and passive sourcing to candidate screening, offer construction, negotiation, and closing.
• Serve as a trusted advisor to AI Engineering leaders and Applied Research Directors, offering market insights, talent mapping, and candidate pipeline health analytics.
• Hunt for specialized technical talent across traditional and non-traditional channels.
• Deliver an exceptional, high-touch, and inclusive candidate journey that reflects a culture of innovation and care.
• Craft competitive, complex offer packages (including equity, compensation structures, and sign-on incentives) and successfully close candidates against elite Big Tech and AI startup competition.
• Drive proactive candidate engagement strategies that promote diversity, equity, and inclusion across all pipelines and selection stages.

Requirements

• Bachelor’s degree in Human Resources, Business Administration, or Organizational Psychology.
• 4+ years of full life cycle recruiting experience in tech recruitment, with a focus on specialized engineering or scientific disciplines.
• 2+ years of dedicated experience sourcing and closing candidates within AI, Machine Learning, Data Science, or Applied Research domains.
• Proven track record of managing complex candidate offers and competing against top-tier tech companies/labs.

Qualifications

• 5+ years of experience recruiting specialized talent in generative AI, LLM infrastructure, deep learning framework development, or advanced AI research.
• Deep understanding of the AI ecosystem, including key skill sets (PyTorch, TensorFlow, Distributed Computing, Model Optimization, Vector Databases, Multi-Agent Systems).
• Experience sourcing talent from top academia/research labs and tech research conferences.
• Strong analytical capability with experience using talent analytics and ATS tools (e.g., Workday, Greenhouse, Beamery) to drive recruitment strategy.

Skills

• AI/ML domain knowledge (PyTorch, TensorFlow, LLM infrastructure, distributed computing).
• Technical recruiting expertise, including GitHub and research-focused sourcing.

Pay

Hourly rate: $65.00 – $70.00.