Machine Learning Scientist Graduate (TikTok Trust and Safety) - 2027 Start (PhD)

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Teamwork","Curiosity","Collaboration"]

Build and advance machine learning models for TikTok Trust and Safety, focusing on content understanding and recognition of policy-violating behaviors. Work with product, engineering, and data science teams to define trust and safety objectives, deploy and serve ML models at scale, and optimize distributed training frameworks. Apply state-of-the-art approaches across multimodal classification, learning models, reinforcement learning, and large language models.

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FursaFursa
TikTok
TikTok
14 hours ago

Machine Learning Scientist Graduate (TikTok Trust and Safety) - 2027 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and advance machine learning models for TikTok Trust and Safety, focusing on content understanding and recognition of policy-violating behaviors. Work with product, engineering, and data science teams to define trust and safety objectives, deploy and serve ML models at scale, and optimize distributed training frameworks. Apply state-of-the-art approaches across multimodal classification, learning models, reinforcement learning, and large language models.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Collaborate with product teams to define business objectives and improve trust and safety strategy.
  • •Collaborate with engineering teams to deploy machine learning models, design online model workflows, and implement serving pipelines at scale.
  • •Collaborate with the data scientist team to understand key challenges and propose data-driven strategies.
  • •Develop state-of-the-art content understanding techniques, including unimodal/multimodal content classifiers.
  • •Optimize and continuously improve distributed model training frameworks.

Key Requirements

  • •Completing or having recently completed a PhD in computer science or a related discipline.
  • •Hands-on or academic experience in machine learning, large language models, recommendation systems, or related areas.
  • •Strong coding skills.
  • •Experience with state-of-the-art ML techniques such as unimodal/multimodal content classifiers, learning models, reinforcement learning models, and/or large language models.
  • •Good communication and teamwork skills, with curiosity toward new technologies and entrepreneurship.
Education:PhD / Doctorate in Computer science or a related discipline
Skills:CommunicationTeamworkCuriosityCollaboration
Tech Stack:Machine learningComputer visionNLPMultimodalityUnimodal content classifiersMultimodal content classifiersLearning modelsReinforcement learningLarge language modelsLLMsRecommendation systemsDistributed model trainingOnline model workflowServing pipelines

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
WebsiteLinkedIn