TikTok
TikTok

Machine Learning Engineer, Business Integrity

직무머신러닝
경력중급
위치Singapore
근무오피스 출근
고용Regular
게시오늘
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포지션 소개

Team Introduction
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of Tik Tok in the world, we are working on building a next-generation content understanding system for Tik Tok monetization. We are seeking Research Engineers who are experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

Responsibilities:

  • Participate in the development of state-of-the-art large-scale content understanding projects.
  • Deep dive in cutting-edge AIGC model research and application.
  • Work with product and business teams on product vision.

Requirements:

  • Minimum Qualification(s)
  • Master/Ph.D. degree in Computer Science, Computer Engineering or other relevant majors.
  • Possesses a solid foundation in machine learning, with a deep understanding of technologies such as MLLM/LLM/CV/NLP/multimodal/Agent, and strong self-learning ability.
  • Familiar with deep learning frameworks such as Py Torch/Tensor Flow, with experience in large-scale model training/deployment, excellent engineering implementation capabilities, proficient in Python/C++.
  • Familiar with multimodal model applications, such as content understanding/content integrity/advertisement understanding/product understanding/multimodal understanding/tagging systems.
  • Ability to think critically and to formulate solutions to problems in a clear and concise way

Preferred Qualification(s):

  • Has experience in ad systems, recommendation, searching, ranking, etc.
  • Research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)

필수 스킬

Machine learning

Model evaluation

Data workflows

TikTok 소개

Singapore

본사 위치