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TikTok

Tech Lead, Machine Learning Engineer - Search E-commerce

SingaporeScience and EngineeringPosted Feb 6, 2026

Apply on company site View full job

Responsibilities

About the Team
The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

Responsibilities - What You'Il Do
Lead the whole TikTok Search E-commerce business in one or more of the following core directions:
• Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
• Design and implement the end-to-end ranking system (recall, pre-rank, rank and mixed rank): Use massive behavioral data to deeply model users' personalized shopping interests. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
• Promote the development of the ecosystem: From the perspective of the industry and merchant/seller, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.
• Monitor the results and quality of the different software solutions and projects implemented in the organisation.

Qualifications

Minimum Qualifications
• 5+ years of industry work experience in one or more of the related fields: NLP, Ranking, Ads, Search Engine, Recommendation systems, and Machine Learning.
• Solid technical skills: Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications
• Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.
• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
• Team management experience is a plus.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
• 5+ years of industry work experience in one or more of the related fields: NLP, Ranking, Ads, Search Engine, Recommendation systems, and Machine Learning.
• Solid technical skills: Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications
• Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.
• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
• Team management experience 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

View company profile

Perks and Benefits

Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- On-Site Gym
- Long-Term Disability
- Short-Term Disability
- Virtual Fitness Classes
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(k) With Company Matching
- Performance Bonus
- Company Equity
Office Life and Perks
- Casual Dress
- Snacks
- On-Site Cafeteria
- Holiday Events
- Company Outings
- Some Meals Provided
- Happy Hours
- Pet-Friendly Office
Professional Development
- Promote from Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity And Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)