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Talent Acquisition Partner - TikTok AI/ML, USDS - San Jose

TikTok, San Jose, California, United States, 95199

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Overview

Talent Acquisition Partner - TikTok AI/ML, USDS - San Jose Responsibilities

Full-Lifecycle AI/ML Recruitment: Own and drive the end-to-end recruiting process for complex technical roles, from sourcing niche, high-demand candidates to closing complex offers, ensuring an exceptional and technically-credible candidate experience. Strategic Stakeholder Management: Act as a trusted advisor to senior AI/ML leaders, hiring managers, and HRBPs. Partner closely to define talent needs, build strategic hiring plans, and influence decisions for highly specialized engineering and research teams. AI/ML Talent Expertise: Leverage deep market knowledge to provide strategic insights on the competitive AI/ML talent landscape, including compensation trends, university relations, and emerging research hubs. Proactive Talent Pipelining: Develop and nurture robust talent pipelines for critical AI/ML profiles (e.g., NLP, Computer Vision, Deep Learning, Reinforcement Learning) through strategic sourcing, research, and community engagement. Process & Program Optimization: Identify bottlenecks and drive improvements in technical recruiting processes, ensuring they are optimized for efficiency, scale, and attracting top-tier technical talent. Qualifications

Minimum Qualifications: 5+ years of full-lifecycle technical recruitment experience in a fast-paced environment. 3+ years of dedicated experience recruiting for technical roles, with a focus on Artificial Intelligence, Machine Learning, or related fields (e.g., NLP, Computer Vision, Deep Learning). Proven ability to manage a complex portfolio of 15+ requisitions simultaneously. Experience using data and metrics to advise hiring managers and shape recruiting strategies. Preferred Qualifications: Experience recruiting for both research (PhD-level) and applied AI/ML roles. Ability to operate autonomously in ambiguous, global environments, adapting to shifting priorities. Familiarity with top academic conferences (e.g., NeurIPS, ICML, CVPR) and key research labs in the AI/ML space. Strong analytical skills with the ability to tell a compelling story with data to influence strategic workforce decisions. About USDS

TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is TikTok’s U.S. subsidiary focused on data protection policies and content assurance protocols to keep U.S. users safe. Our teams span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions. Data Security Statement:

This role requires the ability to work with systems designed to protect sensitive data and information. The role is subject to strict national security-related screening. Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or a reasonable accommodation, please reach out to us at the provided contact point. Job Information

For Pay Transparency: The base salary range for this position in the selected city is $102,600 - $280,800 annually. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location. This role may be eligible for bonuses, incentives, and restricted stock units. Benefits include medical, dental, and vision insurance from day one, 401(k) with company match, parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated on hire). The Company reserves the right to modify or change these programs at any time, with or without notice. Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws and ordinances where the job is located. Seniority level

Mid-Senior level Employment type

Full-time Job function

Human Resources Industries

Technology, Information and Internet

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