Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop powerful computer vision and deep learning algorithms for analyzing sports videos, including tracking, segmentation, and event detection, to create automated solutions.
Job Technologies
Your role in the team
- 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.
- 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 terms 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.
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Our expectations of you
Qualifications
- Expert programming skills with Python (and its data-science libraries).
- 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.
Experience
- At least 3 years of professional experience with Computer Vision and Machine Learning (e.g., multi-object tracking, segmentation, event detection, 3D estimation, etc.).
- 2+ Jahre Erfahrung in der Entwicklung oder Nutzung von Deep-Learning-Frameworks (z.B. PyTorch, TensorFlow, etc.).
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Benefits
Health, Fitness & Fun
- 🏋🏿♂️Fitness Offers
- 👨🏻🎓Mentor Program
- 👩⚕️Company Doctor
- ⚽️Tabletop Soccer, etc.
- 🚲Bicycle Parking Space
- 🎳Team Events
Work-Life-Integration
More net
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.
Description
- Company Size
- 250+ Employees
- Founding year
- 2001
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Sports, Leisure, Media, Publishing, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)Career Growth
3.8Workingconditions
4.3Culture
4.3Engineering
3.6
Deep Learning/Computer Vision Engineer
- Location
- Vienna
- Working Model
- Hybrid, Onsite
