2 days ago

Research Scientist - TikTok E-Commerce Recommendation Foundation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Join the E-commerce Recommendation Foundation team to build next-generation recommendation intelligence. You’ll develop unified foundation models across retrieval, ranking, and re-ranking, and advance an event-sequence-driven generative recommendation paradigm. Work with LLMs and multimodal understanding, reinforcement learning, and system optimization to create adaptive intelligent recommenders and research end-to-end generative recommendation methods balancing efficiency and user experience.

Location: Seattle

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and optimize cross-scenario shared foundation models for unified modeling and efficient inference.
•Advance an event-sequence-driven generative recommendation paradigm with multimodal understanding and generative capabilities.
•Apply LLM technologies across retrieval, ranking, and re-ranking, including model training, inference optimization, and system co-design.
•Explore integrating LLMs/VLMs with recommendation systems to develop adaptive and evolving recommenders.
•Research end-to-end generative recommendation and system optimization methods balancing efficiency and user experience.

Key Requirements

•MS/PhD in Computer Science or related technical field, or equivalent industrial research experience.
•Strong theoretical foundation in machine learning, deep learning, or information retrieval.
•Proficiency in Python and familiarity with mainstream deep learning frameworks such as PyTorch.
•Strong passion for intelligent recommendation systems and a self-driven research mindset.
•Experience with large-scale recommendation systems or large-model training, with notable technical achievements, and/or research publications in related areas (LLMs, multimodal learning, reinforcement learning, generative recommendation).

Experience:Machine learningDeep learningInformation retrievalRecommendation systemsLarge language modelsMultimodal learningReinforcement learningGenerative AI

Skills:Self-drivenResearch mindsetInnovationSystems thinkingCollaboration

Tech Stack:PythonPyTorchLLMsVLMsMultimodal understandingReinforcement learningFoundation modelsInformation retrievalRetrievalRankingRe-rankingModel trainingInference optimizationSystem co-design

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

Research Scientist - TikTok E-Commerce Recommendation Foundation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Seattle

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and optimize cross-scenario shared foundation models for unified modeling and efficient inference.
•Advance an event-sequence-driven generative recommendation paradigm with multimodal understanding and generative capabilities.
•Apply LLM technologies across retrieval, ranking, and re-ranking, including model training, inference optimization, and system co-design.
•Explore integrating LLMs/VLMs with recommendation systems to develop adaptive and evolving recommenders.
•Research end-to-end generative recommendation and system optimization methods balancing efficiency and user experience.

Key Requirements

•MS/PhD in Computer Science or related technical field, or equivalent industrial research experience.
•Strong theoretical foundation in machine learning, deep learning, or information retrieval.
•Proficiency in Python and familiarity with mainstream deep learning frameworks such as PyTorch.
•Strong passion for intelligent recommendation systems and a self-driven research mindset.
•Experience with large-scale recommendation systems or large-model training, with notable technical achievements, and/or research publications in related areas (LLMs, multimodal learning, reinforcement learning, generative recommendation).

Experience:Machine learningDeep learningInformation retrievalRecommendation systemsLarge language modelsMultimodal learningReinforcement learningGenerative AI

Skills:Self-drivenResearch mindsetInnovationSystems thinkingCollaboration

Tech Stack:PythonPyTorchLLMsVLMsMultimodal understandingReinforcement learningFoundation modelsInformation retrievalRetrievalRankingRe-rankingModel trainingInference optimizationSystem co-design

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn