About PROPHESEE

Prophesee is the inventor of the world’s most advanced neuromorphic vision systems. The company developed a breakthrough event-based vision approach to machine vision that enables dramatic reductions in power consumption, latency, and data processing requirements. By mimicking how the human eye and brain work, Prophesee’s patented Metavision® sensors and algorithms reveal information that is invisible to traditional frame-based sensors.

Prophesee’s technology is transforming applications across industrial automation, aerospace and defense, autonomous systems, IoT, AR/VR, and mobile.

The intership is based in Paris (75011) and starts in September 2026.

Job background

Prophesee designs and produces a new type of cameras that are bio-inspired and thus free themselves from the concept of images. They don't gather information with a fixed frame-rate but instead each pixel is captured asynchronously when needed. This is called event-based image processing. Therefore the output is extremely sparse and allows a real time treatment of the information at an equivalent frequency of a kHz or more. But since the data coming from the sensor are quite different from the images used in standard vision, Prophesee is also advancing the algorithmic and machine learning side of this new kind of machine vision. It enables its clients to build new applications mainly in automotive, virtual reality and industrial automation.

The intern will be part of the Algorythm team.

Internship details

As an intern, you will contribute to the research and development of novel machine learning techniques for event-based object detection. Your primary responsibility will be to investigate, implement, and evaluate state-of-the-art deep learning architectures designed for processing event-based vision data.

Throughout the internship, you will conduct a comprehensive benchmarking study of existing approaches, assessing their detection accuracy, computational efficiency, and robustness across representative datasets. Particular emphasis will be placed on optimizing model performance under practical deployment constraints, including memory footprint, computational complexity, inference latency, and energy efficiency, with a focus on real-time embedded and edge computing applications.

You will also collaborate with the research team to analyze experimental results, identify performance trade-offs, and propose architectural or algorithmic improvements that advance the state of the art in event-based object detection. The outcomes of your work are expected to contribute to the development of efficient, high-performance perception systems for next-generation autonomous and intelligent vision applications.

Education

Master 1 or 2

Required skills

Strong knowledge of Deep Leaning for computer vision applications
Comfortable with programming in Python
Experience with Pytorch or Tensorflow or JAX
Experience with Linux, Git
C++, embadded systems
Fluent english

Soft skills:

Strong problem-solving skills, strong analytical skills. Flexible to dynamic environments and fast changing technologies. Passionate about technology. Team player. Good sense of autonomy. Must be pragmatic and self-motivated to complete a task even if it is outside of just the “well known” realm. “Can Do Attitude” is preferred.

Machine learning for event-based vision internship (6-12 months)

Join Prophesee as an ML intern to develop and benchmark deep learning models for event-based vision, optimizing accuracy, latency and energy on edge devices.

Job background

About Prophesee

Machine learning for event-based vision internship (6-12 months)

Join Prophesee as an ML intern to develop and benchmark deep learning models for event-based vision, optimizing accuracy, latency and energy on edge devices.

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