Machine Learning Engineer (Search Recommendation - E-commerce), TikTok Search
Feb 4, 2026 Singapore
About us
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
Responsibilities
About the team
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.
Responsibilities
- Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Qualifications
Minimum Qualifications
- Bachelor or advanced degree in computer science or a related technical discipline.
- 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.
- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
Preferred Qualifications
- 3+ years of machine learning experience
- Good product sense with a focus on user experience.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
About the team
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.
Responsibilities
- Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Minimum Qualifications
- Bachelor or advanced degree in computer science or a related technical discipline.
- 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.
- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
Preferred Qualifications
- 3+ years of machine learning experience
- Good product sense with a focus on user experience.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
About the team
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.
Responsibilities
- Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Qualifications
Minimum Qualifications
- Bachelor or advanced degree in computer science or a related technical discipline.
- 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.
- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
Preferred Qualifications
- 3+ years of machine learning experience
- Good product sense with a focus on user experience.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
Responsibilities
ResponsibilitiesAbout the team
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.
Responsibilities
- Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
- Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
- Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
Qualifications
QualificationsMinimum Qualifications
- Bachelor or advanced degree in computer science or a related technical discipline.
- 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.
- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.
Preferred Qualifications
- 3+ years of machine learning experience
- Good product sense with a focus on user experience.
- Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
Additional Information
- Posted: Feb 4, 2026