Research Intern (AML-Algorithm) - 2026 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Education: phdSkills: ["Problem-solving","Analytical skills","Collaboration","Independent research","Communication"]

Join an Applied Machine Learning team owning the end-to-end ML lifecycle for recommendation, ads, and search systems. You’ll conduct research on recommendation and personalization using large-scale models, generative recommendation, and reinforcement learning, while prototyping multimodal modeling strategies (text, image, video). Collaborate with mentors and engineers, test ideas in real-world settings, and share results via presentations, technical reports, and potential publications.

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FursaFursa
ByteDance
ByteDance
1 month ago

Research Intern (AML-Algorithm) - 2026 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Join an Applied Machine Learning team owning the end-to-end ML lifecycle for recommendation, ads, and search systems. You’ll conduct research on recommendation and personalization using large-scale models, generative recommendation, and reinforcement learning, while prototyping multimodal modeling strategies (text, image, video). Collaborate with mentors and engineers, test ideas in real-world settings, and share results via presentations, technical reports, and potential publications.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Conduct research in machine learning for recommendation systems, including large-scale recommendation models, generative recommendation, or reinforcement learning for personalization.
  • •Explore and prototype new modeling strategies leveraging multi-modal data (text, image, video) to improve content and user understanding.
  • •Investigate long-term user behavior modeling and reinforcement learning techniques to improve sustained engagement.
  • •Collaborate with mentors and researchers/engineers to test ideas in real-world environments.
  • •Share findings through internal presentations, technical reports, and potentially external publications.

Key Requirements

  • •Currently pursuing a Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • •Strong research background in machine learning, deep learning, and/or recommender systems.
  • •Proficiency in Python or C++ and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • •Solid understanding of modern ML methods including transformers, large language models (LLMs), and multi-modal learning.
  • •Ability to conduct independent research with strong problem-solving and analytical skills.
Education:PhD / Doctorate
Skills:Problem-solvingAnalytical skillsCollaborationIndependent researchCommunication
Tech Stack:PythonC++PyTorchTensorFlowTransformersLarge language modelsLLMsMulti-modal learningRecommendation systemsReinforcement learning

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn