We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Skills Required
- Master's degree or equivalent in ML, Data Science, Statistics, Mathematics, Computer Science, or related field
- 7+ years industry experience building and deploying ML models at scale
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy
- Proficiency in Python (including libraries such as PyTorch, XGBoost, Scikit-learn) and SQL
- Strong experience with ML pipelines and orchestration tools (Airflow, SageMaker Pipelines, or similar)
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs)
- Track record of shipping production-level ML products and maintaining high code quality
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects
- Mentoring junior engineers and fostering knowledge sharing
- Familiarity with MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms like Kafka
- Contributions to open-source ML projects or publications in ML conferences
What We Do
We are a tech & entertainment company founded in 2008, with a dream of bringing exciting, technology-powered entertainment in sports & gaming to millions of customers around the world. Our group is present in 10 countries, in terms of operations or tech hubs, with the most important markets being Romania, Belgium, and Poland. The Superbet team gathers more than 4.500 people, acting as the major driving force behind our success. Tech-powered global entertainment platform At Superbet, technology and innovation are at the heart of everything we do. Our tech hubs in Zagreb, London, and Bucharest are focused on developing the best proprietary technology, innovative products, and new ways to engage with our passionate customer base. Following record-breaking years for the Group, we are moving ever closer to our goal of exciting the world. Our plans are big - expanding our presence in Central and Eastern Europe and creating a unique experience for our customers. Our Credentials The world's largest private equity fund, Blackstone Inc., recognized our vision. That's why we received a strategic investment of 175 million euros in 2019. As leaders in compliance and best practices, we are members of the International Betting Integrity Association (IBIA) and the only company which has won four times the Best Sports Betting Operator in CEE award at the Central and Eastern European Gaming Conference (CEEGC
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