Senior Machine Learning Engineer

Senior Machine Learning Engineer

Department : Data Science & Intelligence

Employment Type : Permanent - Full Time

Location : Warsaw, PL

Description

Tripledot is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of – one filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our AI group

The AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams.

Role Overview

Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI / ML Eng, Data engineers, analysts and product owners..

Within the various studios you will interact with data, engineering, and product teams. The group AI function’s goal is to make Tripledot an AI first company. You’ll be reporting into the VP of AI. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.

Progression opportunities will be within the AI group or to studios in the group. The first initiative you’ll be taking part of is LTV predictions both for Ad based revenues and IAP based ones.

Key Responsibilities

• Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
• Designing experiments and prototypes to test the viability and efficiency of new AI models.
• Translate research findings into real-world applications by creating algorithm prototypes in our codebase.
• Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecyecle.
• Design, develop, and evaluate A / B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
• Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
• Document your work clearly and concisely, fostering knowledge sharing within the team.

Required Skills, Knowledge and Expertise

Bonus points if you also have :

Working at Tripledot

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