ByteDance
AI Perception Intern (PICO) - 2027 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently enrolled in a PhD program (or an exceptional undergraduate) in EE, ECE, CS, Physics, or a related technical discipline.
About the job
Contribute to efficient machine-vision perception pipelines and camera/sensor testing for low-power wearable devices.
What you'll do
- Prepare data, train and optimize models, and deploy perception pipelines on edge devices.
- Build and run test platforms and benchmarks for camera/perception latency, power, and accuracy.
- Support camera and sensor experiments, including data capture, calibration, and evaluation.
What they ask for
- Currently enrolled in a PhD program (or an exceptional undergraduate) in EE, ECE, CS, Physics, or a related technical discipline.
- Programming experience in Python and/or C/C++; experience with PyTorch or an equivalent.
- Hands-on experience in computer vision/ML, embedded/edge systems, or camera/image-sensor/imaging pipelines, including exposure to cameras, images, or visual perception.
- Able to execute a scoped project with guidance in a fast-paced, multidisciplinary team; good communication.
Nice to have
- Experience with efficient or edge model deployment, such as quantization, pruning, ONNX/TensorRT, or NPU/DSP.
- Image/video CV, 3D vision, event/depth sensing, embedded hardware, or use of VLM/LLM tools in the workflow.
Tools
Python, C/C++, PyTorch, ONNX/TensorRT, NPU/DSP, VLM/LLM
AI focus
Develop, optimize, deploy, and test machine-vision perception models and pipelines for low-power wearable camera and sensing systems.
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