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Senior Machine Learning Engineer - Applied ML & Research
Оценка ИИОтличная позиция в крупной международной компании с серьезными инвестициями (Blackstone) и современным стеком. Высокий балл обусловлен масштабом задач, работой с LLM и сильной инженерной культурой.
Сложность вакансии
Оценка ИИРоль требует глубоких знаний как в классическом ML, так и в современных LLM, а также сильных навыков программной инженерии для работы с высоконагруженными системами. Ожидается опыт работы от 4 лет и умение вести проекты от идеи до деплоя.
Анализ зарплаты
Оценка ИИЗарплата для Senior ML Engineer в Хорватии обычно выше среднего по рынку ИТ из-за дефицита кадров. Superbet, как международная компания с крупными инвестициями, вероятно, предлагает компенсацию в верхнем дециле местного рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Machine Learning Engineer position within the Applied ML & Research team at Superbet. With over 4 years of experience in building and deploying scalable ML systems and a deep understanding of both classical algorithms and modern LLMs, I am confident in my ability to contribute to your platform's security and user experience. My background in Python, PyTorch, and SQL, combined with a commitment to engineering excellence, aligns perfectly with your team's mission to deliver high-impact, data-driven solutions.
In my previous roles, I have successfully led the end-to-end ML lifecycle, from data exploration to production monitoring, always prioritizing maintainable code and rigorous experimentation. I am particularly drawn to Superbet's global growth and the opportunity to work on complex problems like ranking, retrieval, and LLM integration within a high-load environment. I look forward to the possibility of bringing my technical expertise and collaborative mindset to your innovative team in Zagreb.
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Откликнитесь в superbet уже сейчас
Присоединяйтесь к Superbet, чтобы создавать ML-решения мирового уровня для миллионов пользователей и определять будущее индустрии развлечений!
Описание вакансии
It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.
As a Senior 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.
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:
- 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
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 4+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- 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.
About us
We are a global technology company dedicated to building the future of entertainment and fan-centric experiences.
With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams.
Shaping the future of play
At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play.
Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities.
Global recognition and standards
The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion.
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).
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Навыки
- AWS
- Python
- PyTorch
- LLM
- SQL
- Kubernetes
- Docker
- Kafka
- XGBoost
- MLflow
- Metaflow
- ZenML
Возможные вопросы на собеседовании
Проверка глубины понимания современных технологий, упомянутых в вакансии.
Расскажите о вашем опыте внедрения LLM в продакшн: с какими основными проблемами (latency, hallucination, cost) вы столкнулись и как их решили?
Вакансия подразумевает работу над безопасностью и пользовательским опытом.
Как бы вы спроектировали систему обнаружения мошенничества в реальном времени для игровой платформы с миллионами транзакций?
В бонусах указаны Kafka и AWS, важно понять навыки работы с данными.
В чем разница между пакетной (batch) и потоковой (streaming) обработкой признаков для ML-моделей, и в каких случаях вы выберете каждый из подходов?
Оценка инженерной культуры кандидата.
Как вы обеспечиваете воспроизводимость экспериментов и качество кода в ML-проектах? Какие инструменты (например, MLflow) вы предпочитаете использовать?
Проверка умения работать с неопределенностью.
Опишите случай, когда бизнес-задача была сформулирована нечетко. Как вы декомпозировали её на технические этапы и определили метрики успеха?
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