Machine Learning Engineer

What you will do

• Improve ML approaches to monetization and A/B testing.
• Perform the full spectrum of ML development: feature engineering, pipeline construction, production deployment, result analysis.
• Conduct A/B tests.

What you need to succeed

• Work experience: 3–6 years.
• Experience implementing ML in businesses.
• Knowledge of classical ML algorithms, mathematical statistics, and probability theory.
• An understanding of A/B testing theory and experience conducting A/B tests.
• Python proficiency.
• Ability to work with large datasets: experience with Hive and PySpark.
• Basic knowledge of algorithms and data structures.

Nice to have:

• Experience independently implementing projects with real business results.
• Experience with recommendation systems and uplift modelling.
• Advanced A/B testing skills: A/B test design, variance reduction methods.

What we offer

• Work remotely from all around the world.
• Collaborative working atmosphere in an internal game dev community that unites more than a dozen of internal game studios, crafting innovative experiences across mobile, PC, and console platforms.
• A strong team of specialists across different areas — access unique expertise and professional knowledge.
• Possibility to experiment and work on interesting tasks with ambitious goals — we have all resources to implement new ideas.
• Create great games and win the hearts of players.
• Push the boundaries of the game industry and lead the way forward.