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AI Perception Intern: Edge ML & Vision Research

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: ByteDance
Apprenticeship/Internship position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 2100 - 3100 USD Monthly USD 2100.00 3100.00 MONTH
Job Description & How to Apply Below
AI Perception Intern (PICO) - 2027 Start (PhD)

Location:

San Jose

Team:

Technology

Employment Type:

Intern

Job Code:

A223431A

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Responsibilities

About Team We build cameras for AI perception, not for human eyes. This internship contributes to the perception pipeline — data, models, deployment, and test — for low-power camera/sensing systems on wearable devices, working alongside a engineer/researcher.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).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.

Qualifications

Minimum 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.

Preferred Qualifications
- Efficient/edge model deployment: quantization, pruning, ONNX/TensorRT, NPU/DSP.

- Image/video CV, 3D vision, or event/depth sensing experience.

- Embedded/hardware exposure: sensor bring-up, FPGA, PCB, or camera-pipeline work.

- Comfort leveraging modern ML tools (VLM/LLM) in the workflow.

Job Information

The hourly rate range for this position in the selected city is $55- $55.

Benefits may vary depending on the nature of employment and the country work location. 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.

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

For Los Angeles County (unincorporated) Candidates:

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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology…

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