PhD Intern — Edge AI Vision for Wearable Cameras

ByteDance; San Jose (CA); On-site; USD 63,000 - 89,000; Full time

Benefits offered by this job

Housing allowance

Job summary

Pico is a VR company founded in 2015, focused on immersive experiences for education and healthcare. This internship contributes to the perception pipeline for low-power camera/sensing systems on wearable devices, working with an engineer/researcher.

You will tackle data prep, model training, quantization and edge deployment, building test platforms, and collaborating within a multidisciplinary team to advance camera and sensing technology in real-world contexts.

Qualifications

• Currently enrolled in a PhD (or exceptional undergraduate) in EE, ECE, CS, Physics, or a related technical discipline.
• Solid programming in Python and/or C/C++; PyTorch or equivalent.
• Hands-on experience in at least one of: computer vision / ML, embedded/edge systems, or camera/image-sensor/imaging pipelines — with genuine exposure to cameras, images, or visual perception (adjacent-only modalities such as MRI/ultrasound/biosignals do not count).
• Able to execute a scoped project with guidance in a fast-paced, multidisciplinary team; good communication.

Responsibilities

• Contribute to power- and compute-efficient machine vision perception pipelines: data preparation, model training, quantization/optimization, and edge deployment.
• Help build and run test platforms and benchmarks for camera/perception performance (latency, power, accuracy).
• Support camera/sensor experiments: ISP-to-perception data flows, capture, calibration, and evaluation.
• Prototype and iterate on scoped components with guidance.

Skills

Python

C/C++

PyTorch

Computer vision

Embedded systems

Communication

Education

PhD candidate in EE/ECE/CS/Physics

Exceptional undergraduate

Tools

PyTorch

Job description

Pico is a VR company founded in 2015, focused on immersive experiences for education and healthcare. This internship contributes to the perception pipeline for low-power camera/sensing systems on wearable devices, working with an engineer/researcher.

You will tackle data prep, model training, quantization and edge deployment, building test platforms, and collaborating within a multidisciplinary team to advance camera and sensing technology in real-world contexts.