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TikTok

Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start (PhD)

San Jose$162,000 – $387,600Posted Oct 9, 2026

Apply on company site View full job

Responsibilities

Team Introduction:
The TikTok e-Commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-Commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities:
- Participate in optimizing TikTok e-Commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.
- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.
- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-Commerce DAU and penetration rates.
- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-Commerce GMV growth.

Qualifications

Minimum Qualification(s):
- Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering or related technical fields, with experience in C++ and Python; proficiency in at least one of the Big Data tools (e.g. Hive SQL/Spark/MapReduce) and at least one of the Deep Learning tools (e.g. TensorFlow/PyTorch).
- Strong foundation in algorithms and data structures, with excellent coding skills.
- Strong learning ability, curiosity, and good communication and teamwork skills.

Preferred Qualification(s):
- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions
- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $387600 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.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering or related technical fields, with experience in C++ and Python; proficiency in at least one of the Big Data tools (e.g. Hive SQL/Spark/MapReduce) and at least one of the Deep Learning tools (e.g. TensorFlow/PyTorch).
- Strong foundation in algorithms and data structures, with excellent coding skills.
- Strong learning ability, curiosity, and good communication and teamwork skills.

Preferred Qualification(s):
- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions
- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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