GOG is a leading global games marketplace generating $50M annual revenue with millions of monthly active users. With over 9,000 products in our catalog, we are home to the largest collection of classic games and have a serious footprint in indie, AA, and AAA games. We are part of the CD Projekt Group (publicly listed on the Warsaw stock market: CDR:WSE), makers of the Cyberpunk 2077 and The Witcher smash-hit series.

At GOG, we are on a mission to make games last forever by helping people across generations fall in love with games. Gamers are the foundation of GOG, which is why our focus when developing and enhancing our services is on them. We want to provide tailored experiences that respond to the needs of gaming communities with their unique preferences and needs. We are currently working on growing our in-house Data Engineering capability, with the focus on personalised recommendation systems that will be served to millions of gamers every day.

Work with super-supportive and open-minded people who contribute daily to the platform used by them, their friends & millions of users each month:

• Use Python, SQL and Google Cloud Platform for data analysis, machine learning and backend APIs.
• Be part of the process “farm-to-table”. Our team works on all components of the system from data preprocessing through model training to delivery.
• Work on datasets ranging from thousands to billions of records.
• Experiment with different approaches to solve a problem. While we follow industry standards, we like to try a thing or two that might be considered out of the box. 
• We learn from each other by pair-programming, workshops, presentations, and many other engineers’ initiatives.
• We use Docker across the pipeline and we are deploying our apps with Kubernetes.

What you’ll do:

• Participate in product discovery phase in order to propose solutions for recommendation systems that answer user & product needs
• Design architecture and participate in decisions regarding technical stack taking into account business requirements, best practices and market trends
• Design, implement, enhance and validate appropriate ML algorithms and tools
• Write well designed, testable, efficient, clean code covered by unit tests by using the best software development practices
• Build prototypes in the quest of iterating fast
• Run tests and experiments to validate hypothesis and recommendations performance
• Work on new projects, from conception to deployment in the production environment
• Share your knowledge and support others in solving complex challenges
• Keep abreast of latest developments in the field

Who you are:

• Experience with building and fine-tuning recommendation models; gathering, structuring and analysing data
• Understanding of data structures, data modelling and software architecture
• Know-how in using Machine Learning algorithms on large datasets
• Knowledge of at least one programming language (preferably Python or GoLang)
• Ability to propose, evaluate and implement several solutions for reaching business goals
• 3+ years of experience delivering data platforms for a product led business
• Expertise in handling a variety of database types
• Understanding of SOLID principles and common design patterns
• Open mind in regards to technology, willingness to venture into new stacks 
• Motivation to thrive in an agile environment, collaborating with peers, Product Managers and other business representatives
• Strong focus on customer perspective & experience
• Ability to easily communicate in English

Nice to have:

• Experience working with Docker and/or Kubernetes
• Hands-on experience with microservice architecture, projects scalability and performance tuning of web applications
• Experience with or ability to evaluate out-of-the-box recommendations systems for e-commerce
• A passion for games and the gaming industry

What we offer:

• Remuneration: 20 000 - 30 000 PLN,
• Possibility to expand your career in an international and extremely creative environment,
• Unique opportunity to enter a booming industry and to influence the future of gaming,
• Hybrid model of work with a possibility to have an office-first, remote-first or fully remote structure depending on your role’s responsibilities & requirements,
• Access to a health care and sports activities package, including free psychologist appointments,
• Possibility to take paid Menstrual Leave for all menstruating employees,
• Active employee networks for LGBTQIA+ employees, women of GOG and parents,
• Frequent social activities, free fruits/coffee/tea, an in-house cantina, and other goodies are a standard,
• An in-house gym, open 24/7, available exclusively for our employees,
• Free access to all games from the GOG catalog, including The Witcher franchise and Cyberpunk 2077,
• Gamer’s paradise where you will be surrounded by games - living & breathing them!
• Dog-friendly environment – yes, you can bring your four-legged friend to work!
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