TT - Data Engineering Leader (Multiple Positions)

Responsibilities
Lead the development and deployment of large-scale, state-of-the-art recommendation models, leveraging expertise in retrieval, ranking, re-ranking, and other phases of the recommendation pipeline.
Own and manage data engineering projects by defining technical strategies and roadmaps that align with business objectives.
Provide technical expertise and guidance to design, develop, refine, and optimize machine learning algorithms that drive business impact and enhance user engagement.
Utilize cutting-edge, application-driven research to explore new frontiers in the recommendation algorithmic domain and apply advanced technical approaches to drive innovation and stay ahead of industry trends.
Manage the allocation of internal and cross-functional resources to support system optimization goals through the efficiency of organizational collaboration.
Direct the preparation of technical and project status reports to communicate results and insights to peers and senior leadership.
Provide business, technical, and personal development coaching to build, manage and mentor junior and mid-level team members.

Qualifications

Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Statistics, Mathematics, or a related field, and 7 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Statistics, Mathematics, or a related field, and 9 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience.

Of the required experience, must have 5 years of experience in each of the following:
Utilizing deep learning and data analysis techniques to design and improve the efficiency of large-scale video recommendation algorithms;
Leveraging deep learning-based natural language processing techniques to determine user search query intent;
Enhancing search result relevance using pre-trained language models;
Transforming big data using Spark and M/R (map reduce) for data insights, reporting, and analytics, and transferring data to Hadoop Distributed File System (HDFS) using Sqoop;
Performing data analysis, design, and development of highly efficient, reliable, and scalable ETL applications using SQL and Python; and
Building scalable data solutions with big data processing and distributed storage engines, including the following: (i) Hadoop; (ii) Spark; (iii) Flink; (iv) Elastic Search; or (v) ClickHouse.

Travel Requirement: Domestic travel required up to 10%.

Type: Full time, 40 hours/week
Location: San Jose, CA
Salary Range: $388918 - $744000 per year

To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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://tinyurl.com/RA-request

#IND-DNI

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $388918 - $744000 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.

Client-provided location(s): San Jose, CA

Job ID: TikTok-7559295062266808583

Employment Type: OTHER

Posted: 2025-10-10T20:21:23