Sports Computer Vision Scientist — Tracking & Re-Identification

SkillCorner SAS; Paris; On-site; EUR 85,000 - 120,000; Full time

Job summary

SkillCorner SAS, based in Paris, is seeking a Computer Vision Scientist to join our Computer Vision team. You will bring solid experience in deep learning applied to computer vision to the models powering our tracking data, from detection to recognition.

You will own key models, design architectures and training pipelines, and push performance to production-grade quality using PyTorch/TensorFlow and OpenCV.

Qualifications

• A graduate degree or PhD in engineering, computer science, mathematics or a related field, with a strong background in mathematics
• Around 3 years of hands-on experience in computer vision with deep learning, in a production environment (exceptional recent graduates are welcome too)
• Real experience in computer vision, not only deep learning in general
• Experience training your own models and a deep understanding of how they work, ideally having modified existing architectures rather than only reusing pre-trained models
• Proven experience with detection, tracking or recognition pipelines, not only research prototypes
• Strong Python for ML: clean, tested, deployable code, with PyTorch or TensorFlow and OpenCV
• The ability to drive technical decisions independently and explain your choices
• Rigor, concise communication, curiosity, autonomy and creativity
• A genuine interest in sport
• Excellent communication skills in English

Responsibilities

• Design, train and optimize deep learning models for detection, tracking, re-identification and recognition
• Own key components of our tracking pipeline, from data and training to evaluation and deployment
• Make and defend technical decisions, grounded in a solid understanding of the theory behind the models you build
• Monitor the state of the art, analyze model performance and turn new ideas into concrete improvements
• Establish the metrics and tooling that measure tracking quality, and drive continuous improvement from one release to the next
• Bring research algorithms into our AWS production pipeline and keep performance stable when new models go live
• Raise the bar on engineering and research practices: code reviews, testing, reproducible experiments and documentation
• Work with Product, Engineering and Operations to turn client needs into concrete tracking improvements
• A graduate degree or PhD in engineering, computer science, mathematics or a related field, with a strong background in mathematics
• Around 3 years of hands-on experience in computer vision with deep learning, in a production environment (exceptional recent graduates are welcome too)
• Real experience in computer vision, not only deep learning in general
• Experience training your own models and a deep understanding of how they work, ideally having modified existing architectures rather than only reusing pre-trained models
• Proven experience with detection, tracking or recognition pipelines, not only research prototypes
• Strong Python for ML: clean, tested, deployable code, with PyTorch or TensorFlow and OpenCV
• The ability to drive technical decisions independently and explain your choices
• Rigor, concise communication, curiosity, autonomy and creativity
• A genuine interest in sport
• Excellent communication skills in English

Skills

Deep learning

Computer vision

PyTorch

TensorFlow

OpenCV

Python

Model training

Production deployment

Re-identification

Tracking pipelines

Research to production

English communication

Education

Graduate degree or PhD in engineering, CS, or math

Tools

CUDA

Job description

SkillCorner SAS, based in Paris, is seeking a Computer Vision Scientist to join our Computer Vision team. You will bring solid experience in deep learning applied to computer vision to the models powering our tracking data, from detection to recognition.

You will own key models, design architectures and training pipelines, and push performance to production-grade quality using PyTorch/TensorFlow and OpenCV.