Deep Learning Engineer

About the role

As a Deep Learning Engineer, you will be working on application of state of the art Computer Vision Deep Learning algorithms for football data based on video streams.

You will be responsible for developing novel CNN models and tuning existing ones, optimizing their accuracy, performance and creating data processing pipelines. You will have to be able to efficiently test different hypotheses and iterate over ideas quickly.

We are open to ideas and give freedom in the taken approach and experimentation and expect that you will be able to work on the given tasks and deliver results with little supervision.

Full-time position. Work in a semi-remote work setup – so we are flexible regarding the location, although we do have preference for a Warsaw based-person. We are flexible also in terms of contract type (B2B & UoP/ UZ possible).

Responsibilities/Tasks:

• Tuning & optimization of existing CNN models
• Development of novel task-specific detection & segmentation CNN architectures
• Building data pipelines for DL models

Requirements

• Proficiency with numpy, scipy, pandas
• Proficiency with Pytorch
• Experience working with image/video data
• Experience in building pipelines for CNN models
• Experience with object detection & image segmentation using DL
• Running independent projects end to end
• Self-directed research
• Good command of English

Preferred

• Practical knowledge of Linux
• Practical experience using SOTA CNN models & libraries

Benefits

• Dynamic start-up environment with interesting scientific challenges & bleeding edge technology and models (this time for real)
• Opportunity to build real-world deployable machine and deep learning-based products changing the world of Football
• International projects & collaborations with top Football Clubs & Federations
• Ability to directly influence development direction of a product
• Team Kaggle competitions (we have 3 masters) & hackathons
• Office in the strict center of Warsaw