Machine Learning Engineer - Monopoly World

Monopoly World is going global, and we’re looking for top talent to join us on this exciting journey. This is your chance to work on a high-impact project that will reach players worldwide.

This role will report to the Head of Analytics. This is a full-time, in-office position based in the iconic railway station building in Krakow.

If you thrive on solving complex challenges, love working with cutting-edge technology, and want to be part of a team shaping the future of gaming, this opportunity is for you.

Join us in creating something truly innovative and make your mark on one of the most iconic games of all time.

Come build something incredible with us! Check out our trailer and see what’s in store! 🚀🎥

We Are Looking for a Machine Learning Developer to Join Our Team!

This role will report to the Head of Analytics. This is a full-time, in-office position based in the iconic railway station building in Krakow.

Key Responsibilities:

• Design, develop, and optimize machine learning models to enhance game features and player experience
• Implement and maintain data pipelines for collecting, processing, and analyzing large-scale game data
• Collaborate with data scientists, game designers, and engineers to integrate ML solutions into the game
• Improve the performance and scalability of ML systems using cloud-based services
• Monitor, test, and fine-tune machine learning models to ensure accuracy and efficiency
• Research and apply the latest advancements in machine learning and artificial intelligence
• Work with Big Data technologies to process and analyze complex datasets
• Ensure the security and compliance of data used in machine learning applications

Job requirements

• At least 2 years of experience in designing and building machine learning systems
• Strong programming skills in Python or a similar language
• At least 1 year of experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with Big Data technologies such as Apache Spark or Hadoop
• Experience with cloud-based machine learning services, such as Amazon SageMaker or Google Cloud AI Platform
• Very good command of English

Why Join Us?

• Leader’s support – Get mentorship, feedback, and career growth guidance
• Knowledge sharing – We invest in employee development
• Fast-paced career – Clear growth opportunities with performance reviews
• Top-notch equipment – Get the right tools for your job
• Beautiful office – Spacious, creative workspace in the city center
• Flexible hours – Whether you prefer early mornings or late evenings, we accommodate your schedule
• Open kitchen – Enjoy coffee, juices, fruits, a stocked fridge, and more
• Team gatherings – Connect with colleagues over pizza, games, and great company

If you are passionate about gaming and eager to contribute your machine learning expertise to a groundbreaking project, we want to hear from you. Apply now and become part of an exciting and fast-growing industry.