Computer Vision Engineer (mfd)

ABOUT US:

Interested Computer Vision Deep Learning and other modern technologies Then the Automated Content team within Sportradar is the right fit for you. We are enhancing the sports experience for fans athletes and teams across the globe through world-class computer vision solutions and are committed to advancing the state of the art of Sport through 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. We are on a mission to automate sports content creation - the data and video that feeds products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast and we are only at the beginning of our journey.

Our cutting-edge technologies will revolutionize the way individuals interact with and participate in sports. Our objective is to create innovative hardware and software solutions leading to automated viewing experiences real-time statistics and event forecasting. By doing so we are enhancing the lives of coaches athletes and fans by developing products that cater to their evolving needs and requirements as well as enabling an experience where people can engage with sport in new and meaningful ways.

We seek a talented Computer Vision Engineer to join our team: a diverse highly skilled and enthusiastic team on the mission to reinvent the world of sports.

WHAT

We are looking for a Computer Vision Engineer to reinforce our talented and enthusiastic Computer Vision (CV) Team obtaining deep-data from videos of sports. This dynamic team composed of both remote and headquarters-based experts works on challenging subjects such as player and ball tracking segmentation re-identification 3D localization event detection etc.

Your role will be to research design implement compare integrate and optimize CV solutions to leverage the power of sports data for millions of sports enthusiasts.

Join the #1 sports data company to tackle real-world challenges and help us change the way sport is consumed.

THE CHALLENGE:

• Research design implement compare integrate and optimize state-of-the-art CV/ML algorithms for our existing and upcoming products.
• Use CV/ML to automate and simplify the day-to-day work of manual operators.
• Share knowledge within the team sometimes located across multiple (European) countries.
• Stay up-to-date and apply state-of-the-art CV methods.
• Find an optimal solution in term of accuracy considering real-time constraints.
• Collaborating with a talented team composed of both remote and headquarters-based experts.
• Integrate research into real-world products.
• Write clean scalable optimized documented and understandable code.
• Participate in code review processes when area of expertise is applicable.
• Build reusable code libraries when those are required.

ABOUT YOU:

• At least 3 years of professional experience with Computer Vision and Machine Learning (e.g. multi-objects tracking segmentation event detection 3D estimation projective geometry classic image processing algorithms model evaluation etc.).
• 2 year experience in developing or using deep learning frameworks (e.g. PyTorch TensorFlow etc.).
• Expert programming skills with Python (and its underlying data-science libraries) and proficient software engineering skills (e.g. design patterns SOLID etc.).
• Excellent communication skills in English and ability to effectively communicate complex technical concepts.
• Must be comfortable with modern software development methodologies such as agile development git code review etc.
• Autonomous and rigorous and a team player with a positive mindset.
• Strong organizational and problem-solving skills.
• Be creative and innovation focused.

OUR OFFER: 

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe Asia and US) including various social events and teambuilding. 

• Flexibility to manage your workday and tasks with autonomy. 

• A balance of structure and autonomy to tackle your daily tasks. 

• Vibrant and inclusive community including Women in Tech and Pride groups which welcome all participants. 

• Global Employee Assistance Programme. 

• Calm and Reulay app (leading well-being apps designed to support focus quality rest mindfulness and long-term mental resilience). 

• Online training videos. 

• Flexible working hours. 

While we appreciate the flexibility and benefits of working from home we strongly believe that coming together in person fosters stronger connections encourages collaboration and drives innovationboth as individuals and as a company. The energy shared ideas and team support we experience in the office strengthen the foundation of our success and culture. For this reason we are an office-first business operating on a hybrid model with team members working in the office three days a week to build relationships exchange ideas and grow together. 

OURRECRUITMENTPROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• Technical interview: With the hiring (technical) team to assess your technical knowledge.
• Cultural Interview: Interview with the director of AI - Computer Vision.

Additional Information :

The minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.

At Sportradar we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs facilities and employment opportunities. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) we believe skills evolve over time. If youre willing to learn and grow with us we invite you to join our team!

Remote Work :

No

Employment Type :

Full-time