Senior Computer Vision Engineer

Description

The Automated Content team at the company builds computer vision solutions that turn sports video into structured data for fans, betting operators and media partners.

The team does research and development in computer vision, machine learning, deep learning and data science, and works on automating how sports content is produced.

The company is a sports technology business sitting between sports, media and betting, serving more than 1,700 federations, media outlets, betting operators and consumer platforms in 120 countries.

The Computer Vision team is made up of remote and headquarters-based specialists who work on player and ball tracking, segmentation, re-identification, 3D localization and event detection.

Responsibilities

• Research, design, implement, compare, integrate and optimize state-of-the-art CV and ML algorithms for current and future products.
• Apply recent computer vision methods and keep your knowledge current.
• Find the best trade-off between accuracy and real-time constraints.
• Turn research into working product features.
• Use CV and ML to reduce the manual work done by operators.
• Share knowledge with colleagues, some of whom are based in other European countries.
• Work with both remote and office-based experts.
• Write clean, scalable, optimized, documented and readable code.
• Take part in code reviews where your expertise applies.
• Build reusable code libraries when they are needed.

Requirements

• At least 3 years of professional experience in computer vision and machine learning, such as multi-object tracking, segmentation, event detection, 3D estimation, projective geometry, classic image processing and model evaluation.
• More than 2 years of experience developing or using deep learning frameworks such as PyTorch or TensorFlow.
• Expert Python skills, including its data science libraries, plus solid software engineering basics such as design patterns and SOLID principles.
• Fluent written and spoken English, with the ability to explain complex technical topics clearly.
• Comfortable with agile development, git, code review and similar modern practices.
• Self-directed and rigorous, a team player with a positive attitude.
• Strong organizational and problem-solving skills.
• Creative, with a drive to innovate.

Conditions

The role is fully on-site, with team members in the office five days a week.

The company is an office-first business that values in-person collaboration.