Computer Vision Scientist - American Football

SkillCorner; Paris; On-site; EUR 50,000 - 70,000; Full time

Job summary

SkillCorner is seeking a Computer Vision Scientist to drive the design and optimization of algorithms for American football tracking. In this role, you will leverage deep learning techniques and tools like PyTorch and TensorFlow, contributing to solutions deployed in live environments.

Ideal candidates have a graduate degree or PhD and at least 3 years of hands-on experience in computer vision. A strong command of Python and experience with detection and tracking pipelines are essential.

Knowledge of American football is a plus, and excellent communication skills in English and French are required.

Qualifications

• 3+ years of hands-on experience in computer vision with deep learning in a production environment.
• Strong command of Python for ML/DL — clean, testable, deployable code.
• Proven experience with detection, tracking, or recognition pipelines.

Responsibilities

• Own and lead the design, implementation, and optimization of cutting-edge algorithms.
• Contribute to technical roadmap discussions and raise engineering standards.
• Develop and improve detection, tracking, and recognition algorithms.

Skills

Deep Learning

Computer Vision

Python

OpenCV

TensorFlow

PyTorch

CNNs

Transformers

Graph Neural Networks

Education

Graduate degree or PhD in engineering, computer science, mathematics or related field

Job description

The Computer Vision team lies at the heart of our mission to deliver precise and high-quality tracking data for sports. We leverage advanced Deep Learning and state-of-the-art Computer Vision techniques to extract the location, movements, and identity of every player and the ball directly from broadcast video.

American football presents unique computer vision challenges — tracking fast-moving players, handling occlusions, managing complex formations. Your work will directly contribute to pushing these solutions further, at scale and in production.

Role

We are looking for a Computer Vision Scientist to join the American Football Computer Vision team. In this role, you will own and lead the design, implementation, and optimization of cutting‑edge algorithms, both autonomously and in collaboration with the team. You are expected to bring solid production experience in deep learning applied to Computer Vision, a strong understanding of the theoretical foundations of the models you build, and the ability to make architectural decisions with real downstream impact.

You will work with tools like PyTorch/TensorFlow, OpenCV, and deep learning architectures (CNNs, Transformers, GNNs, etc.) to develop and improve detection, tracking, and recognition algorithms. Beyond implementation, you will contribute to technical roadmap discussions and help raise the bar on engineering and research standards within the team.

This role sits at the intersection of applied research and production — your work will transition from experimentation to live deployment, directly impacting sports teams and organizations worldwide.

Preferred experience

• Graduate degree or PhD in engineering, computer science, mathematics or related field
• 3+ years of hands‑on experience in computer vision with deep learning, in a production environment
• Strong command of Python for ML/DL — clean, testable, deployable code
• Proven experience with detection, tracking, or recognition pipelines (not just research prototypes)
• Ability to independently drive technical decisions and defend your choices
• Excellent communication skills in English and in French

Knowledge of or genuine interest in American football is a definite plus