We’re the world’s leading sports technology company, at the intersection of sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators and consumer platforms span 120 countries rely on our know‑how and tech to propel their business.
Job Description
ABOUT US:
Interested in Computer Vision, Deep Learning and
other modern tech? Then the Automated Content team within Sportradar is the right fit. We enhance the sports experience for fans, athletes and teams worldwide through world‑class computer vision solutions, and we’re committed to pushing the state of the art of sport via continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond. Our mission is to automate sports content creation – data and video – that feeds products and services to our partners. The possibilities to revolutionize the world of sport are vast, and we’re only at the beginning of this journey.
Our cutting‑edge tech revamps how people interact with and participate in sports. Our goal is to produce innovative hardware and software solutions leading to automated viewing experiences, real‑time stats and event forecasting. By doing so we augment the lives of coaches, athletes and fans through product that accommodates their evolving needs and allows an experience where people engage with sport in novel and meaningful ways.
We are looking for a talented Computer Vision engineer to join our eclectic, enthusiastic team on the mission to reinvent the world of sport.
WHAT?
We’re after a Computer Vision engineer to reinforce our lively and spirited CV team, pulling deep‑data from sports videos. This dynamic mix, mixed of remote and headquarter experts, tackles hard topics such as player and ball tracking, segment, re‑identification, 3D localisation, event detection, etc.
Your role will be to research, design, feature, compare, integrate and optimise CV solutions to tap the power of sport data for millions of enthusiasts.
Join the #1 sport’s data company to take on real‑world challenges, and help us flip how sport is consumed.
THE CHALLENGE:
* Research, design, implement, compare, integrate and optimize state‑of‑the‑art CV/ML for our current and future products.
* Use CV/ML to automate and streamline the day‑to‑day work of operators.
* Share knowledge inside the team, sometimes located on multiple EU nations.
* Stay up‑to‑date and adopt cutting‑edge CV methods.
* Find an optimal solution in term of accuracy, considering real‑time constraints.
* Collaborate with a spirited team of remote and head‑center partners.
* Integrate research in real‑world products.
* Write clean, scalable, optimised, documented and understandable code.
* Partake in code review processes when expertise matters.
* Build reusable code libraries, if required.
ABOUT YOU:
* At least 3 yr of professional experience in CV and ML – e.g. multi‑object tracking, seg, event sense, 3‑D, classic image methods, model eval., etc.
* 2 yr experience in deep‑learning frameworks (PyTorch, TensorFlow, …).
* Proficient in Python and data‑science libs, plus solid‑ing software design skills such as patterns, SOLID, etc.
* Excellent comma in English and spot to convey complex technical concepts.
* Must feel at comfort with modern dev‑methodologies such as agile, git, review, etc.
* Autonomous and rigorous, a team player, & positive mind‑set.
* Strong organizational and problem‑solving skills.
* Be> creative and innovation‑focused.
OUR OFFER:
* A collaborative environment with peers from all over the world (engineering offices in Europe, Asia, US) amid plus social events.
* Flexibility good to manage your work‑day and tasks with autonomy.
* A balance of structure and autonomy to tackle daily tasks.
* Vibrant and inclusive community, including Women‑in‑Tech, and Pride‑groups.
* Global Employee‑assistant programme…
* Ccalm good‑app impulse, and works to sust’‑support
* Control elf‑app‑mit10……
“While we appreciate # ... (text). End —
OUR RECRUITMENT process:
* Initial Screen?
* Technical i??
* Culture & …..
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