- Level
- Mid level
- Experience
- 3+ yrs
- Type
- Full time
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About the job
About the Team:
The Search Growth 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. Our mission: to create a world where "there are no hard-to-sell, overpriced products."
Responsibilities - What You'Il Do
- Enhance search recommendation services and models for TikTok, driving increased search traffic on TikTok and TikTok Mall, while also improving user's search understanding.
- Optimize the recommender system based on hyperscale machine learning models, covering a range of tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow.
- Explore the upper limits of short text recommendation and general recommendation technology, with a focus on the interaction between recommendation and NLP technology.
Qualifications
Minimum Qualifications
- 3+ years of work experience in machine learning. Good product sense with a focus on user experience.
- 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.
More at TikTok
- Research Engineer Intern (TikTok Generalized Arch) - 2027 Start (PhD)TikTok · San Jose, California, US
- Machine Learning Engineer, E-commerce Feed RecommendationTikTok · San Jose, California, US
- Machine Learning Engineer, Data Mining (Ads Core)TikTok · San Jose, California, US
- Applied Scientist Intern - Business Integrity - Global Frontier Tech Recruitment Program - 2027 Start (PhD)TikTok · San Jose, California, US
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