Machine Learning Engineer

7 months ago

Dublin, Ireland Playrix Full time

Machine Learning Engineer

Playrix is one of the most successful mobile game development companies globally. In terms of revenue, we rank in the top 3 worldwide and lead in revenue among all mobile applications in EMEA. Our games have been downloaded 2.3 billion times, and every day, over 30 million people worldwide engage with our games.
This role requires relocation from Russia and Belarus to one of our offices or remote work from other countries (except Russia and Belarus). Find out more .

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Tasks

The Playrix data team is looking for talented R&D MLE with passion for games. In this role you will find ways of improvement in such areas as:

Monetization. For example, offer recommendations and pricing optimization; Game design. For example, dynamic difficulty adjustments or bots for playtesting and level difficulty evaluation; Marketing. For example, LTV forecasting, performance marketing campaign automation.

At Playrix we believe that ML-products can add value in each of the areas mentioned below and we are sure that best opportunities are still to be discovered. We are ready to start new data based initiatives in start-up mode. So, it’s up to you what ML-product you will build from scratch up to world wide production We are flexible in projects– it’s time to research.

As a part of ML-product team discover new business opportunities or improve existing products Make EDA, discovery analysis, find proof of concepts based on data in collaboration with DE and DA. Develop MVP, ready for production ML-pipelines. Develop data pipelines and be ready to support it in a consultant role during the automation process. Support data analysts teams, product teams, game development teams during implementation of machine learning-based tools

Our stack

Work exclusively with cloud resources (AWS), utilize a data lake accessed through Databricks based on Hive/Delta, and employ a Data Warehouse (DWH) using Redshift. There are no limitations on frameworks. Development languages include Python, SQL, Scala, and Cython.

Requirements

3+ years of experience in applied data analysis using machine learning techniques Good programming skills (Python/R) Strong mathematical background: understanding of probability theory, applied statistics, and machine learning Thorough knowledge of SQL and databases Fluency in Russian and proficiency in written English Passion for crafting elegant code that is easily maintainable
Desire to create reliable services that require minimal support Business orientation, ability to find an applied solution in a limited time without adding unnecessary complexity Proactive attitude, ability to take responsibility for results, ability to act in a situation of uncertainty

Our advantages

Opportunity to impact the business: All ML projects at Playrix directly influence key project metrics - audience and revenue. This provides a unique chance to apply ML algorithms as the foundation of products that bring direct value to the business

Freedom and unity: Each ML project team operates as a cohesive unit with a clear understanding of what they are doing, how, and why. Every team member actively participates in discussions about what they do, how they do it, and the purpose behind it. The use of "historically evolved" approaches is minimized

Our Perks

Flexibility
Work from wherever you like (your home, one of our many offices, or a hybrid combination) and whenever you like thanks to our flexible work schedule.

Healthcare
We reimburse online sessions with a psychologist and offer you and your children healthcare, including dental insurance and treatment for COVID-19.

Work-life balance
We offer a generous amount of paid vacation days and sick leave. In special circumstances, additional days off can be requested.

Professional development and education
We reimburse participation in relevant conferences and courses, and regularly conduct internal bootcamps. We also provide access to discounted English language courses.

Entertainment and merch
Every year we hold hundreds of events around the world, including contests, sports challenges, parties, hackathons, and offline events for individual teams.

Fitness
We support leading a healthy lifestyle and offer reimbursement for gym memberships, or fitness app subscriptions.

Community involvement
We launch charity projects and support the initiatives of employees through our grant competition.

Relocation package
We help employees, their families, and their pets with relocation, and also arrange concierge and real estate agency services. Find out more .

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