AI Vision Research Scientist Intern - Global Frontier Tech Recruitment Program - 2027 Start (PHD)

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

AI Vision Research Scientist Intern – Global Frontier Tech Recruitment Program – 2027 Start (PhD)

Location: San Jose – Team: Technology – Employment Type: Intern – Job Code: A221101

Team Introduction

The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co‑optimization.

We are looking for talented individuals to join us for an internship in 2027. PhD internships at our company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization’s future plans and emerging technologies. Our dynamic internship experience blends hands‑on learning, enriching community‑building and development events, and collaboration with industry experts.

Responsibilities

The internship offers the opportunity to actively contribute

• Innovate and develop a power‑efficient, low‑latency, highly‑intelligent all‑day machine perception vision system.
• Develop a necessary training, data collection/generation pipeline along with state‑of‑the‑art ML algorithm/framework for understanding of the scene and user behaviors.
• Map the cutting‑edge ML algorithm to the HW accelerator, identify performance bottlenecks, optimize performance and efficiency, and propose more efficient HW/SW co‑design for AI accelerator.
• Collaborate with the cross‑functions team and translate system requirements into a proper cloud‑edge workload partition and edge ML accelerator HW/SW requirement.
• Perform quantitative evaluations through the use of system modeling and influence sensor, SOC and software co‑design.

Qualifications

Minimum Qualifications:

• Currently pursuing a PhD in Electrical Engineering, Computer Science, Physics or a related technical discipline.
• Experience in research in computer vision, edge ML perception algorithm and/or related AI accelerator design.
• Experience with programming tools and languages such as C/C++, MATLAB, Python.

Preferred Qualifications:

• Familiar with appropriate ML frameworks and model deployment.
• Familiar with image sensor and ISP.
• Good track record on top‑tier conference or journal publication.

Job Information

The hourly rate range for this position in the selected city is $60‑$60.

Benefits

Interns have day‑one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

Equal Opportunity Employer

The company reserves the right to modify or change these benefits programs at any time, with or without notice.

Legal

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
• Exercising sound judgment.

Reasonable Accommodation

We are committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request.