Machine Learning Engineer Intern
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Job Description
About Company:
Name: TikTok
Description: TikTok is a short-form video entertainment app and social network platform.
Parent Organization: ByteDance
Headquarters: Los Angeles, California, USA
Team Size: 10001+ employees
Company Stage: Late Stage
H1B Sponsorship: Has a track record of offering H1B sponsorships.
Job Description:
Job Title: Machine Learning Engineer Intern (Summer 2025)
Overview:
TikTok, the leading destination for short-form mobile video, is seeking a Machine Learning Engineer Intern for the Summer of 2025. This role involves working on large-scale Ads systems, with a primary focus on relevance model optimization, the development of Ads algorithms, and the enhancement of NLP capabilities.
Responsibilities:
• Participate in the development of a large-scale Ads system.
• Responsible for relevance model and strategy optimization, including areas such as semantic matching models, active learning, text/photo/video multi-modal models, and ranking strategy.
• Participate in the development and iteration of Ads algorithms using Machine Learning.
• Work on NLP (Natural Language Processing) capability improvement and query understanding, covering tasks like query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, and bidword optimization.
• Work on CTR/CVR model estimation accuracy, data analysis, modeling, and feature engineering.
• Research and develop Ads pacing algorithms and ads traffic control.
• Partner with product managers and the product strategy & operation team to define product strategy and features.
Qualifications:
Required:
• Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• Experience with one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
• Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems.
• Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment.
Preferred:
• Experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.
