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SeniorFull-timePythonMachine LearningData ScienceTensorFlowPyTorchAgileGitAIML
Salary Range
$86,190 - $116,610 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Computer Vision Engineer to join our team at Sportradar, a leading sports data company. This role focuses on enhancing the sports experience for fans, athletes, and teams through world-class computer vision solutions.
Key Responsibilities
- →Research, design, implement, compare, integrate, and optimize state-of-the-art CV/ML algorithms for 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 terms of accuracy, considering real-time constraints.
- →Collaborate 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.
- →Build reusable code libraries.
Requirements
- ✓At least 3 years of professional industry experience with Computer Vision and Machine Learning.
- ✓2+ years of experience in developing or using deep learning frameworks like PyTorch or TensorFlow.
- ✓Expert programming skills with Python and its underlying data-science libraries.
- ✓Proficient software engineering skills, including design patterns and SOLID principles.
- ✓Excellent communication skills in English and the ability to effectively communicate complex technical concepts.
- ✓Comfortable with modern software development methodologies such as agile development, git, and code review.
- ✓Autonomous, rigorous, and a team player with a positive mindset.
- ✓Strong organizational and problem-solving skills.
- ✓Creative and innovation-focused.
Benefits
- ★A collaborative environment with colleagues from all over the world.
- ★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.
- ★Global Employee Assistance Programme.
- ★Well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience.
- ★Online training videos.
- ★Flexible working hours.
