MACHINE/DEEP LEARNING & COMPUTER VISION INTERN – REMOTE

Job Overview

About

At Scortex, we love factories. The smell of grease, the sparks of welding, the jingling of conveyor belts. We appreciate the beauty of a well-crafted industrial process, delivering value at a massive scale in the physical world.

That is why it pains us to see manufacturing companies struggle with their quality. Throwing away parts by the thousands, or missing the needle in the haystack, letting faulty products slip through their tired eyes, despite all their efforts. We decided to solve this major headache of theirs, by building the required technology and making it accessible to everyone.

Leveraging Machine Learning, Our Platform Allows Customers To

detect faulty parts on a production line, automatically, in real-time,know and understand quality issues at a large scale,dynamically improve the quality of the production.

Scortex is a team of passionate individuals, in a unique blend of the tech and manufacturing worlds. Obviously, we have a flexible hybrid/remote work policy.

Job Description

As a proactive member of the machine learning and computer vision team, you will face and surmount a variety of challenges. Specifically, you will:

Explore various state-of-the-art techniques to help solve tasks currently unbeaten by computersStay on the bleeding edge of research and participate actively in the communityDesign and implement machine learning models that achieve outstanding defect-detection performance while simultaneously being light-weight enough to run in real-time on our embedded system.Help improve our data acquisition, training and inference pipelines

Because of the current time required by the French administration to process visas and internship applications, this position is open only for students that are (I) enrolled in universities that can provide a french internship agreement and (II) do not require a visa to enter France and begin an internship.

In addition, we are currently looking for students able to do a long term internship of 5 to 6 months, ideally starting September – October 2025.

Preferred Experience

In-depth knowledge of deep learning techniques applied to computer vision: deep convolutional networks, vision transformers, vision-language models, knowledge distillationProficient knowledge of both supervised and unsupervised machine learning techniques: clustering, object detection, generative models, dimensionality reduction, anomaly detectionUnderstanding of standard computer vision techniques : filtering, transformations, descriptors and detectorsKnowledge and understanding of the mathematics underlying all of the above: probability and statistics, optimization, linear algebra, numerical computationProven experience with at least one machine learning framework, preferably PytorchGood programming and software engineering skillsExperience with the unix environment

Recruitment Process

Questionnaire -> Intro call -> Technical interview / Founder interview

Additional Information

Contract Type: Internship (Between 5 and 6 months)Start Date: 08 September 2025Location: Paris Education Level: Master’s Degree