The mission mainly consists in improving the accuracy of the algorithm we are developing on a proprietary video dataset. Tasks will include:

• Tracking down and implementing state-of-the-art video recognition deep learning architectures
• Creating and applying recommendations to improve the main task scores
• Improving the evaluation pipeline
• Participate to all models optimization
• Improve the scalability of the training pipeline (AWS SageMaker, GCP TPUs)
• Collaborating with the Integration team and the Product Development team
• Assisting the CTO in tech related appointments and collaboration with labs
• Explore new tasks related to the algorithm arising from tech watch

• 4+ years of work experience in the field
• Proven expertise in Deep Learning, especially in computer vision (video related tasks are a plus)
• Interest in research and ability to extract useful information from scientific papers
• Understanding of convolution and famous related architectures (resnext, I3D, RPN, two-stream networks, autoencoders and GANs…)
• Solid grasp of at least one of the following deep learning frameworks : Pytorch, Tensorflow, CNTK, Caffe, MXNet
• Analytical mind, ability to take a step back and see the big picture
• Problem-solving aptitude
• Master / PhD in Deep Learning or relevant fields

We are commited to keep an optimum process in 4 steps:

• A first interview with HR to introduce you to Veesion, the challenges and get to know you (30min)
• A technical interview with our CSO (1h30)
• A live coding at the office (1h30)
• A last interview with our CEO

WHY JOIN US ?

You join the crew at a pivotal moment, you will have:

• Ultra motivating colleagues 🧨
• A very dynamic work atmosphere 💪
• The possibility to gain skills and responsibilities quickly 📈
• A complementary health insurance Alan green 🍀
• A Swile card for your meal vouchers and other benefits 💳
• And above all an office in the heart of Paris, facing the Pompidou center 😎