Machine Learning Engineer, TikTok Search Ranking
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The role
Develop and optimize industry-leading search and recommendation algorithms using cutting-edge information retrieval and ML techniques.
Tackle challenges such as trillion-scale index libraries, trillion-parameter models, ultra-long user sequences, and large-scale sparse models.
Explore how large models disrupt the next generation of search, recommendation, and ranking, leveraging world knowledge embedded in these models.
Apply short-video multimodal understanding, generative models, scaling laws, sparse MoE, and reinforcement learning to improve search ranking.
Translate product objectives into ML solutions spanning query understanding, video understanding, and multi-level result ranking.
Collaborate with cross-functional teams to deliver production-ready systems and clearly communicate impact.
Tackle challenges such as trillion-scale index libraries, trillion-parameter models, ultra-long user sequences, and large-scale sparse models.
Explore how large models disrupt the next generation of search, recommendation, and ranking, leveraging world knowledge embedded in these models.
Apply short-video multimodal understanding, generative models, scaling laws, sparse MoE, and reinforcement learning to improve search ranking.
Translate product objectives into ML solutions spanning query understanding, video understanding, and multi-level result ranking.
Collaborate with cross-functional teams to deliver production-ready systems and clearly communicate impact.
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