AI Vision Research Intern: Build Low-Latency ML Vision Systems

ByteDance; San Jose (CA); On-site; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

Wellbeing benefits

Housing allowance

Paid holidays

Job summary

ByteDance invites PhD interns to join the AI Vision Research Scientist Intern program in San Jose. The role centers on creating power-efficient, high‑performant vision systems and advancing HW/SW co‑design for AI accelerators with cross‑functional collaboration.

Qualified candidates are PhD students in EE/CS with research in computer vision and edge ML perception. Proficiency in C/C++, MATLAB and Python is expected, with opportunities for health and wellbeing benefits and housing support where

Qualifications

• Currently pursuing a PhD in Electrical Engineering, Computer Science, Physics or related field.
• Experience in computer vision and edge ML perception algorithms.
• Proficient in C/C++, MATLAB, Python.

Responsibilities

• Develop power-efficient, low-latency vision systems for AI fog/edge.
• Build data pipelines and train ML models for scene understanding.
• Map ML algorithms to HW accelerators and optimize HW/SW co-design.
• Collaborate with cross-functional teams to define edge workloads.
• Evaluate system performance with modeling and co-design studies.

Skills

Research experience

Computer Vision

ML frameworks

Education

PhD in Electrical Engineering/CS

Tools

C/C++

MATLAB

Python

Job description

ByteDance invites PhD interns to join the AI Vision Research Scientist Intern program in San Jose. The role centers on creating power-efficient, high‑performant vision systems and advancing HW/SW co‑design for AI accelerators with cross‑functional collaboration.

Qualified candidates are PhD students in EE/CS with research in computer vision and edge ML perception. Proficiency in C/C++, MATLAB and Python is expected, with opportunities for health and wellbeing benefits and housing support where