Machine Learning Engineer
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!
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
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.
Skills
As published by recruitee · 9 questions · 2 written answers
Basics
Full name, Email, CV, Cover letter, Phone
Short answers (4)
- Link to LinkedIn / Website / Blog / any your digital creation you want to share with us? optional
- Why do you want to join Reality Games?
- What is your notice period?
- What are your salary expectations? (NET in PLN per month)
Pick from a list (3)
- In the next recruitment stage we might give you a short technical task. Please express your will
- I consent to process my personal data by Reality Games Polska Sp. z o.o. with headquarters in Kraków, Plac Jana Nowaka-Jeziorańskiego 3, 31-154 Kraków for the purpose and scope necessary in recruitment, I confirm that I have read the privacy policy and understand and accept its content.
- If you want to take part in future recruitments please express your will for the purpose and scope necessary: "I consent to process my personal data by Reality Games Polska Sp. z o.o. with headquarters in Kraków, Plac Jana Nowaka-Jeziorańskiego 3, 31-154 Kraków for the purpose and scope necessary in future recruitments, I confirm that I have read the privacy policy and understand and accept its content." optional
Written answers (2)
- If you could analyze data for any game, which one would it be and what would you look at first?
- Which data visualization and analytics tools have you worked with, and how do you ensure your insights are actionable for product teams?