Machine Learning Engineer, TikTok Search Ranking
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El puesto
Join the Search Ranking Team to develop cutting-edge information retrieval and machine learning algorithms that enhance user experience in search and recommendations.
Tackle challenges such as trillion-scale index libraries, models with trillions of parameters, ultra-long user sequences, and large-scale sparse models.
Explore how large-scale models will reshape search, recommendation, and ranking by leveraging world knowledge, multimodal understanding, generative models, scaling laws, sparse MoE, and reinforcement learning.
Apply modern ML, AI, NLP/vision techniques to improve query understanding, video understanding, and the ranking of results.
Design and ship end-to-end search components, from indexing to reranking, grounded in information retrieval and ML.
Collaborate across teams, communicate effectively, and align solutions with product objectives to deliver impactful results.
Tackle challenges such as trillion-scale index libraries, models with trillions of parameters, ultra-long user sequences, and large-scale sparse models.
Explore how large-scale models will reshape search, recommendation, and ranking by leveraging world knowledge, multimodal understanding, generative models, scaling laws, sparse MoE, and reinforcement learning.
Apply modern ML, AI, NLP/vision techniques to improve query understanding, video understanding, and the ranking of results.
Design and ship end-to-end search components, from indexing to reranking, grounded in information retrieval and ML.
Collaborate across teams, communicate effectively, and align solutions with product objectives to deliver impactful results.
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