Software Engineer, Computer Vision Platform (mfd)
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Job Location:
Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
ABOUT US:
We are looking for a Software Engineer to join Sportradars engineering team developing our Argos platform Sportradars cloud-native low latency infrastructure for computer vision processing.
Computer vision is rapidly becoming one of the core technologies powering sports data collection across Sportradars products for sports media sports betting and coaching.
As a Software Engineer within Sportradars AI unit you will work with an experienced team of data scientists developers and dev-ops engineers building innovative infrastructure solutions for computer vision machine learning and data analytics workloads.
Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world in turn entertaining millions of sports enthusiasts.
THE CHALLENGE:
- Research design development deployment and day-to-day operations of solutions for real-time low latency computer vision processing hosted in AWS cloud.
- Collaborate and support our team of computer vision researchers with the integration and productization of computer vision models.
- Contribute to the evolution of our technology stack and technical architectures powering computer vision and AI workloads as part of a growing team of talented developers data scientists data engineers already dedicated to this mission.
ABOUT YOU:
- Knowledge of programming in Python with demonstrable hands-on experience developing production grade solutions.
- Hands-on experience with containers and container orchestration frameworks (Docker Kubernetes).
- Must be comfortable with modern software development methodologies such as agile development git CI/CD code review etc.
- Must be comfortable with using AI coding tools and agentic technologies.
- Bonus: Experience with development in Golang and/or Java.
- Bonus: Demonstrated experience with productization of CV/ML models.
- Bonus: Understanding of machine learning / deep learning concepts and some hands on experience with machine learning or computer vision using deep learning frameworks (e.g. PyTorch Keras Tensorflow MXNet).
- Bonus: DevOps experience (hands-on experience with the design set-up and administration of infrastructure) and with cloud services like AWS/Azure.
- Bachelor of Science in Computer Science / Engineering Mathematics / Statistics or related field; equivalent experience acceptable.
- Fluent in English (written and spoken).
- Autonomous rigorous creative and a team player.
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.
- Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution as also discuss team fit.
- Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet.
- Finals Steps: Receive feedback and if successful an offer!
Additional Information :
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
Key Skills
- Laboratory Experience
- Vendor Management
- Design Controls
- C/C++
- FDA Regulations
- Intellectual Property Law
- ISO 13485
- Research Experience
- SolidWorks
- Research & Development
- Internet Of Things
- Product Development
About Company
Sportradar Group AG (NASDAQ: SRAD), founded in 2001, is a leading global sports technology company creating immersive experiences for sports fans and bettors. Positioned at the intersection of the sports, media and betting industries, the company provides sports federations, news medi ... View more
