AI Vision Research Engineer Graduate (Pico) - 2027 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Curiosity","Hands-on experimentation","Problem-solving","Open-mindedness"]

Work on PICO AR/XR hardware platforms to build power-efficient, low-latency machine perception for VR/AR. Develop training and data generation pipelines, imaging and multimodal features, and translate ML algorithms into optimized hardware accelerator performance through HW/SW co-design. Collect real-world data, perform quantitative evaluations using system modeling and FPGA prototyping, and collaborate with cross-functional teams to partition workloads across cloud and edge.

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FursaFursa
ByteDance
ByteDance
1 day ago

AI Vision Research Engineer Graduate (Pico) - 2027 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Work on PICO AR/XR hardware platforms to build power-efficient, low-latency machine perception for VR/AR. Develop training and data generation pipelines, imaging and multimodal features, and translate ML algorithms into optimized hardware accelerator performance through HW/SW co-design. Collect real-world data, perform quantitative evaluations using system modeling and FPGA prototyping, and collaborate with cross-functional teams to partition workloads across cloud and edge.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Innovate and develop a power-efficient, low-latency machine perception vision system for VR/AR.
  • •Create training and data collection/generation pipelines and state-of-the-art ML algorithms/frameworks for understanding scenes and user behavior.
  • •Map ML algorithms to hardware accelerators, identify performance bottlenecks, and optimize performance and efficiency.
  • •Collaborate with cross-functional teams to partition cloud-edge workloads and define edge ML accelerator HW/SW requirements.
  • •Conduct quantitative evaluations using system modeling and FPGA prototyping to validate ideas and architecture options.

Key Requirements

  • •Completing or recently completed PhD in Electrical Engineering, Computer Science, Physics, or related technical disciplines.
  • •Research experience in ML algorithms or AI accelerator design.
  • •Experience with programming languages/tools including C/C++, MATLAB, and Python.
  • •Familiarity with appropriate ML frameworks.
  • •Strong communication skills and enthusiasm for new technologies.
Experience:Computer visionMachine learningAI acceleratorAR/VR
Education:PhD / Doctorate
Skills:CommunicationCuriosityHands-on experimentationProblem-solvingOpen-mindedness
Tech Stack:C/C++MATLABPythonFPGAML frameworksAR/VRComputer visionImage processingComputational photography

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