Machine Learning Engineer - Pico Perception - San Jose

ByteDance ByteDance · Big Tech · San Jose, CA · R&D

Machine Learning Engineer focused on optimizing and deploying AI algorithms on Qualcomm chips for XR devices, emphasizing low-power consumption and performance improvement. This role involves close collaboration with hardware vendors and contributing to the AI toolchain and technical ecosystem.

What you'd actually do

  1. Be responsible for the optimization and deployment of AI algorithms based on Qualcomm chips, and improve the performance of algorithms on the Qualcomm platform.
  2. Keep regular communication with Qualcomm, closely follow the development trends of Qualcomm chip technology, and provide forward-looking technical suggestions for projects.
  3. Follow up on the latest development of XR business and promote the development and evolution of low-power edge devices.
  4. Continuously pay attention to the new technological trends and research results in the industry, and share excellent practices in the industry.
  5. Promote the development of the AI toolchain and the construction of the technical ecosystem, and be responsible for the software and hardware collaborative design of the AI training system.

Skills

Required

  • Python
  • C++
  • Qualcomm chip architecture
  • optimizing AI algorithms

Nice to have

  • XR/VR devices
  • AI heterogeneous computing architecture
  • AI compiler solutions
  • communication skills
  • innovation skills

What the JD emphasized

  • low-power consumption deployment of AI models
  • Qualcomm chips
  • performance of algorithms on the Qualcomm platform

Other signals

  • deployment of AI models
  • optimization for specific hardware
  • XR business