At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate production recommendation models and drive product impact. The team is fast-paced, collaborative and impact-driven.

Responsibilities
- Build industry-leading infrastructure for large scale cloud + on-premise, improving user experience, content ecosystem and platform security;
- Deliver turn-key ML solution to address critical product challenges;
- Own the full stack IaaS/PaaS systems and optimize algorithms and infrastructure to improve e2e performance.
- Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Qualifications

Minimum Qualifications
- 5 years of experience in one or more of the following areas: cloud infrastructure, large-scale distributed system, PaaS/IaaS
- Strong programming skills in Python and/or C/C++, and a deep understanding of large scale infrastructure
- Deep insights and clear organization skills, capable of addressing various problems and challenges in growth scenarios.
- Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems.

Preferred Qualifications
- Industry experience with the main components of ML systems
- Strong track record of success in hybrid cloud & on premise infrastructure

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $194000 - $355000 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 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 and 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.

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.