Tech Lead, Recommendation Infrastructure

responsible for building up and optimizing the infrastructure for our recommendation system to provide the most stable and best experience for our TikTok users.
This team builds stable, efficient, flexible and general-purpose recommendation systems, platforms and data applications to support the rapid iteration and growth of TikTok products.

We are looking for a Tech Lead who is excited to dive deep into complex challenges in the recommendation and big data spaces and be able to provide technical leadership to key projects. You will be responsible for building and leading the TikTok recommendation infrastructure, and have the opportunity to partner closely with a globalized engineering teams in a high-impact and fast-paced environment.

Responsibilities - What You'll Do

• Grow and lead a team of engineers committed to creating innovative distributed systems to empower large-scale recommendation and machine learning systems;
• Build extremely efficient, scalable and reliable online systems and data pipelines, optimize and evolve the system continuously so as to support the skyrocket increase in both user traffic as well as the data amount;
• Work with cross functional teams and key stakeholders to define roadmap, drive initiatives and deliver end-to-end infrastructure solutions to address critical product challenges and improve recommendation performance;
• Support TikTok recommendation global development and operation with reliable and scalable infrastructure.

Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields;
• 5+ years of engineering experience in building large-scale distributed systems with 1+ years of engineering technical leadership experience;
• Excellent programming, troubleshooting, and optimization skills in one or more general purpose programming languages including but not limited to: C/C++, Java, Python.
• Experienced in at least one area of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage systems, big data frameworks;
• Ability to think critically and to formulate solutions to problems in a clear and concise way;
• Effective communication skills and a sense of ownership and drive.

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 [email protected].

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $224000 - $410000 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.