Machine Learning Engineer, TikTok Search Ranking
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The role
Work on cutting-edge information retrieval and machine learning to develop industry-leading search and recommendation algorithms that affect billions of users.
Build and optimize full-stack search engine components—indexing, recall, rough and fine sorting, rerank, and mix-rank—at trillion-scale.
Explore how large-scale models reshape next-generation search and ranking, leveraging multimodal understanding, generative models, scaling laws, sparse MoE, and RL.
Apply NLP/CV techniques and product knowledge to improve query understanding, video understanding, and ranking across multiple levels.
Collaborate across teams with strong communication and problem-solving skills in a fast-paced, self-directed environment.
Ideal candidates hold a CS background, solid ML foundations, and hands-on experience in C++, Python, or Java.
Build and optimize full-stack search engine components—indexing, recall, rough and fine sorting, rerank, and mix-rank—at trillion-scale.
Explore how large-scale models reshape next-generation search and ranking, leveraging multimodal understanding, generative models, scaling laws, sparse MoE, and RL.
Apply NLP/CV techniques and product knowledge to improve query understanding, video understanding, and ranking across multiple levels.
Collaborate across teams with strong communication and problem-solving skills in a fast-paced, self-directed environment.
Ideal candidates hold a CS background, solid ML foundations, and hands-on experience in C++, Python, or Java.
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