Machine Learning Engineer - Applied ML & Research
The company is pioneering the next era of play by building The Playstack, a technology powering the next generation of sports, gaming, and fan experiences. They are looking for talented individuals to shape how millions of customers play, watch, and connect daily.
As a Machine Learning Engineer in the Applied ML & Research team, you will drive the development of cutting-edge machine learning solutions that power critical features across 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. You will lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus) (required)
- 2+ years of industry experience building and deploying ML systems (required)
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL (required)
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies (required)
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices (required)
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively (required)
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow (nice-to-have)
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) (nice-to-have)
- Exposure to streaming data platforms like Kafka (nice-to-have)
- Contributions to open-source ML projects (nice-to-have)
- Medical / Health Insurance (required)
- Open Annual Leave (required)
- Employee Assistance Programme (required)
- Training & Learning Development (required)
Additional benefits vary by country and will be shared during the hiring process.
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.
