Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Computer Vision Lösungen zur Analyse von Sportvideos, optimierst Algorithmen für Spieler- und Ballverfolgung und gestaltest innovative Ansätze in einem agilen Team von Experten.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- At least 3 years of professional industry 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.).
Benefits
Gesundheit, Fitness & Fun
- 🏋🏿♂️Fitness Angebote
- 👨🏻🎓Paten- & Mentor- Programm
- 👩⚕️Betriebsarzt
- ⚽️Tischkicker o. Ä.
- 🚲Fahrradabstellplatz
- 🎳Team Events
Work-Life-Integration
Mehr Netto
Essen & Trinken
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
Die Sportradar-Gruppe ist eine internationale Organisation, die mehr als 1.900 Mitarbeiter an mehr als 30 Standorten weltweit beschäftigt (u.a. in Ljubljana, Minneapolis, München, Oslo, Trondheim und Warschau). Wir nehmen eine führende Position im Bereich der Schnittstelle zwischen Sport-, Medien- und Wettbranche ein und betreiben auch LAOLA1.at und LAOLA1.tv – Österreichs größte Sportnetzwerke. Trotz vollem Einsatz kommt bei uns der Spaß nicht zu kurz - wir legen großen Wert auf Teamgeist!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2001
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Werbung, Marketing, PR, Sport, Freizeit, Medien, Verlagswesen, Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(3 Bewertungen)4.0
Career Growth
3.8Workingconditions
4.3Engineering
3.6Culture
4.3
Computer Vision Engineer
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
