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Senior Machine Learning Engineer (m/f/d) @ Sportradar d.o.o.

Opis delovnega mesta

ABOUT US:
We are looking for a Senior Machine Learning Engineer to join Sportradar's AI unit, an established, high performing team of AI experts working on the design, development and deployment of AI models that deepen our understanding of sports and enable new sports technology products for sports performance, betting and media.

The position will focus on the research and development of generative models of sports gameplay and predictive models of player actions and performance. You will collaborate closely with product owners and technical leads to ensure these models translate into real product impact across diverse areas such as coaching, sports betting, augmented streaming and sports virtualization.

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 fans.


THE CHALLENGE:
- Analyse, explore and visualize datasets using statistical analysis and scripting, including analysis and preparation of large-scale body pose tracking data collections.
- Develop and train machine learning models, specializing in deep learning methods for sequence modelling, including autoregressive or diffusion-based generative models.
- Design, train, and iterate on representation learning solutions optimized for modelling of sports data with LLM-like models.
- Develop data processing pipelines adopted for training models from scratch (not only fine-tuning), validation, and inferencing.
- Rigorously validate methods, models, algorithms, and hypotheses using back-testing on historical data and/or simulations.
- Optimize models for efficient GPU-accelerated inferencing at scale.
- Bring models into production leveraging internal AI platform, maintaining ownership of the AI solution throughout the model development lifecycle, from modelling to production deployment, monitoring and continuous model improvement.
- Collaborate closely with stakeholders to connect model outputs to product experiences (e.g., real-time visualisation, coaching workflows, simulated reality), balancing research progress with practical delivery constraints.
- Present ideas and solutions to software developers and business stakeholders in a clear and understandable way.

Od kandidatov zahtevamo

YOUR PROFILE:
- The successful candidate will be knowledgeable in modern machine learning techniques with strong fundamentals in deep learning for sequence modeling and generative AI (e.g., transformers, autoregressive modeling, representation learning)
- Strong programming skills and software development experience to build reliable training pipelines, scalable data processing, and production-grade inference services are a must.
- Hands-on experience working with spatiotemporal data (tracking/trajectory data, time-series, or sensor-like modalities) and building models that learn from complex structured inputs is highly valued.
- Proficiency with Python and common ML tooling, like PyTorch and PyTorch Lightning, including distributed training and experiment tracking.
- Solid understanding of data engineering basics (efficient dataset construction, feature pipelines, validation, reproducibility).
- Experience working with cloud services (AWS) and container-based development (using Docker, Singularity, etc.)
- Ability to properly use JIRA, plan and structure work in efficient and clear manner.
- Bonus: Experience with computer vision / pose estimation pipelines or working directly with pose-tracking outputs and skeleton-based modeling.
- Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable.
- 5+ years of hands-on experience in engineering, with 3+ years in a machine learning / data science role.
- Must be comfortable with using AI coding tools and agentic technologies.
- Fluent in English (written and spoken).
- Autonomous, rigorous, creative and a team player.

Kandidatom ponujamo

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 innovation—both 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.



OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Technical Assessment: A short (home) task to showcase your technical skills.
- Technical Interview: 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!

Kontakt

https://smrtr.io/xtN6M

Klasifikacija delovnega mesta

Lokacija:
Ljubljana
Plačilo:
3.000 - 6.000 gross with bonus 5% - 10% (depends on experience) EUR / mesec
Delovni čas:
redna zaposlitev

 

Zahtevana znanja

Python
napredno znanje
Machine Learning
napredno znanje
cloud services
napredno znanje
container-based development
napredno znanje

O podjetju

Sportradar is a trailblazer in global sports technology, where your skills will enhance the creation of immersive experiences for sports fans and bettors worldwide.

Established in 2001, Sportradar operates at the intersection of the sports, media, and betting industries, delivering top-tier technology solutions to sports federations, media companies, consumer platforms, and betting operators to drive business growth.

Partnered with prestigious organizations such as the NBA, ATP, NHL, MLB, NASCAR, FIFA, UEFA, Bundesliga, AFC and Conmebol, we cover nearly a million events annually across all major sports.

As part of our team, you'll leverage our extensive industry relationships and expertise to innovate and elevate the sports fan experience. Moreover, through our Integrity Services division, you'll contribute to promoting an integrity-driven environment that safeguards the sports industry.

If you're ready to embrace a pivotal role in transforming the sports industry and reimagining the sports fan experience, explore our exciting career opportunities at Sportradar.

Zakaj bi želel delati za vas

You will have an opportunity to work for and shape one of the fastest growing sports data companies in the world.

We cultivate employee communication and team spirit. Our people are not only great engineers but first and most of all amazing people with some of the most amazing hobbies making them interesting people outside of the office setting as well. We have a licensed pilot, guitarists, drummers, singers - yes our own band, two office dogs in our ranks.

As a market innovator, Sportradar is valued at $2 billion+, backed by prominent investors Ted Leonsis and Michael Jordan, and a partner to the top leagues and federations around the world including the NBA, MLB, FIFA, and UEFA.

We are a founder-led company with a fast-paced, growth-focused spirit that invites employees to pave their own path and make a personal impact in driving the company forward.

If you think you're up to the challenge, come and help us to grow, innovate and develop! #maketheteam

Programerski vprašalnik