PhD Intern: Edge Vision & Sensor Architectures

ByteDance

San Jose (CA)

Presencial

USD 85.000 - 121.000

Jornada completa

Hace 13 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Health insurance
Life insurance
Wellbeing benefits
Housing allowance

Descripción de la vacante

ByteDance's Pico unit is seeking PhD interns for 2027 to contribute to eye-tracking hardware research and AI perception improvements. You will work on sensor front-end architectures, end-to-end imaging pipelines, and co-design of hardware and vision models.

The internship blends hands-on learning with collaboration across optics, sensors, and CV/ML teams, offering exposure to real-world research and potential product impact.

Formación

  • Currently pursuing a PhD in a technical field (CS/EE/Optical/Math/Physics).
  • Strong research background in computer vision and ML with hands-on model training.
  • Experience with sequence modeling, language modeling, efficient neural networks, or signal processing.

Responsabilidades

  • Design and prototype sensor/imaging architectures with near-sensor processing.
  • Build end-to-end imaging pipelines from optical physics to perception models.
  • Leverage VLM/LLM knowledge to guide sensing front-end requirements.
  • Develop or adapt vision models co-optimized with hardware constraints.

Conocimientos

PhD in relevant field
CV/ML research
Sequence modeling
Language modeling
Efficient neural networks
Signal processing

Educación

PhD in CS/EE/Optical Engineering/Applied Math/Physics or related field

Herramientas

Hardware prototyping
Embedded ML deployment

Descripción del empleo

ByteDance's Pico unit is seeking PhD interns for 2027 to contribute to eye-tracking hardware research and AI perception improvements. You will work on sensor front-end architectures, end-to-end imaging pipelines, and co-design of hardware and vision models.

The internship blends hands-on learning with collaboration across optics, sensors, and CV/ML teams, offering exposure to real-world research and potential product impact.

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