AI Vision Research Engineer - PICO - San Jose

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 3+ yearsEducation: phdSkills: ["Communication","Open-minded","Enthusiastic"]

Work on the EE Platform team to build power-efficient, low-latency machine perception for VR/AR. Develop training and data pipelines and state-of-the-art ML algorithms for scene and user behavior understanding, then map models to hardware accelerators to find bottlenecks and drive HW/SW co-design. Collaborate with cross-functional teams, partition cloud-edge workloads, and validate ideas with system modeling and FPGA prototyping.

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FursaFursa
ByteDance
ByteDance
1 month ago

AI Vision Research Engineer - PICO - San Jose

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Work on the EE Platform team to build power-efficient, low-latency machine perception for VR/AR. Develop training and data pipelines and state-of-the-art ML algorithms for scene and user behavior understanding, then map models to hardware accelerators to find bottlenecks and drive HW/SW co-design. Collaborate with cross-functional teams, partition cloud-edge workloads, and validate ideas with system modeling and FPGA prototyping.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Innovate and develop power-efficient, low-latency, intelligent machine perception vision systems for VR/AR products.
  • •Develop training and data collection/generation pipelines and state-of-the-art ML algorithms/frameworks for scene and user behavior understanding.
  • •Map ML algorithms to hardware accelerators, identify performance bottlenecks, and optimize performance and efficiency through HW/SW co-design.
  • •Collaborate with cross-functional teams to translate system requirements into cloud-edge workload partitioning and edge ML accelerator HW/SW requirements.
  • •Perform quantitative evaluations using system modeling and FPGA prototyping to validate ideas and architecture options.

Key Requirements

  • •PhD in Electrical Engineering, Computer Science, Physics, or a related technical discipline.
  • •3+ years of research experience in ML algorithms or AI accelerator design.
  • •3+ years of experience with programming tools and languages including C/C++, MATLAB, and Python.
  • •Experience using appropriate ML frameworks.
  • •Good communication skills and an open-minded, enthusiastic attitude toward new technologies.
Experience:3+ yearsAI accelerator designMachine perceptionAR/VR
Education:PhD / Doctorate
Skills:CommunicationOpen-mindedEnthusiastic
Tech Stack:C/C++MATLABPythonML frameworksFPGACloud-edge

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