Responsibilities

Team Introduction

Tik Tok's USDS (U.S. Data Security) Product Engineering team is responsible for building secure, scalable, and high-impact technical solutions that power Tik Tok's product experience in the United States. As part of a specialized organization, our mission is to ensure the safety, integrity, and reliability of Tik Tok's core product infrastructure for our U.S. user base while operating with the highest standards of data protection and compliance.

We work at the intersection of product innovation and security, collaborating closely with cross-functional teams in engineering, trust & safety, legal, and privacy to design and build features that serve our users while meeting rigorous U.S. regulatory requirements. This team thrives on solving complex challenges in a fast-paced, high-stakes environment, and plays a critical role in shaping the future of Tik Tok's U.S. platform.

Key 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 our 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 significant 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.
• Demonstrated ability to operate autonomously in ambiguous, global environments, adapting to shifting priorities.
• Familiarity with the 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.

Compensation

The base salary range for this position in the selected city is $102,600 - $280,800 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive:

• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Additional Information for Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.