Research Scientist Intern (Multimedia Streaming) - 2027 Start (PhD)

ByteDance
San Diego
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Experimentation","Analytical skills","Communication","Collaboration"]

Research and optimize large-scale multimedia streaming systems, including on-demand, live, and real-time communication. Explore and prototype algorithms, architectures, and system designs for emerging media formats like 360-degree, volumetric, and light field streaming. Investigate QoE metrics and evaluation methods, build and test research prototypes, and analyze experiments. Collaborate with researchers and engineers to turn ideas into practical solutions and contribute to technical reports, publications, and patents.

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ByteDance
ByteDance
2 hours ago

Research Scientist Intern (Multimedia Streaming) - 2027 Start (PhD)

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Last checked: 2 hours agoStatus: Live

Job Summary

Research and optimize large-scale multimedia streaming systems, including on-demand, live, and real-time communication. Explore and prototype algorithms, architectures, and system designs for emerging media formats like 360-degree, volumetric, and light field streaming. Investigate QoE metrics and evaluation methods, build and test research prototypes, and analyze experiments. Collaborate with researchers and engineers to turn ideas into practical solutions and contribute to technical reports, publications, and patents.
Location: San Diego
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Conduct research on performance analysis and optimization of large-scale streaming systems for on-demand streaming, live streaming, and real-time communication.
  • •Explore and prototype novel algorithms, architectures, and system designs for emerging media formats such as 360-degree video, volumetric video, and light field streaming.
  • •Investigate QoE-related metrics, modeling approaches, and evaluation methodologies for large-scale multimedia delivery.
  • •Build research prototypes, run experiments, analyze data, and generate insights to validate technical hypotheses.
  • •Collaborate with researchers and engineers to translate research ideas into practical solutions and potential product innovations, and contribute to technical reports and publications.

Key Requirements

  • •Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field.
  • •Strong fundamentals in algorithms, data structures, computer systems, networking, and software development.
  • •Demonstrated research ability through publications, submitted manuscripts, or substantial project experience in relevant areas.
  • •Strong problem-solving, experimentation, and analytical skills.
  • •Effective communication skills and ability to work collaboratively in a research-driven environment.
Experience:Multimedia systemsVideo streamingNetworkingDistributed systems
Education:PhD / Doctorate in Computer Science, Electrical Engineering, or a related field
Skills:Problem-solvingExperimentationAnalytical skillsCommunicationCollaboration
Tech Stack:CDN systemsAdaptive streamingLow-latency media transportTransport protocolsCongestion controlReal-time communicationMachine learningReinforcement 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