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About the Role
The role is within the AI group, working with other AI/ML Engineers, Data Engineers, Analysts, and Product Owners. You will interact with data, engineering, and product teams across various studios and central teams, directly contributing to main games KPIs such as retention, revenue, and player experience, as well as company efficiency and time to market.
Responsibilities
- Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements and testing effectiveness.
- Design experiments and prototypes to test the viability and efficiency of new AI models.
- Translate research findings into real-world applications by creating algorithm prototypes.
- Convert prototypes into production-level code deployable through the ML Lifecycle.
- Design, develop, and evaluate A/B tests to measure personalization algorithm effectiveness and optimize player experience.
- Continuously monitor and analyze player data to identify new personalization opportunities and improve existing algorithms.
- Document work clearly and concisely to foster knowledge sharing.
Requirements
- A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field, or equivalent experience.
- Strong understanding of industry-standard ML techniques (classification, reinforcement learning, generative methods).
- Experience applying machine learning algorithms to solve real-world problems.
- Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes).
- Proven track record of deploying ML models to production and established MLOps concepts.
- Good command of analytical programming and visualization languages/libraries (SQL, Python, Matplotlib).
- Familiarity with supporting tools and platforms (e.g., Git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
- Strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
- Excellent communication and collaboration skills to bridge technical and non-technical teams.
- Experience using generative AI copilots or agents in daily development work.
- A passion for mobile gaming and a desire to create engaging player experiences and drive business results.
- Experience with more complex ML techniques (e.g., Reinforcement Learning).
- Experience with A/B testing methodologies in an online gaming context.
- Experience working in the games industry.
Skills
- Machine Learning
- Personalization
- Algorithm Design
- Experiment Design
- Prototyping
- Production Code Development
- ML Lifecycle Management
- A/B Testing
- Data Analysis
- Knowledge Sharing
- CI/CD
- Version Control
- Docker
- Kubernetes
- MLOps
- SQL
- Python
- Matplotlib
- Git
- MLFlow
- Kubeflow
- Trino
- AirFlow
- Statistical Concepts
- Generative AI
- Reinforcement Learning
Education Level
- Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
Benefits
- Statutory Time Off policy for location in addition to bank holidays.
- Private Healthcare or Healthcare stipend subject to eligibility.
- Continuous opportunities for professional development.
About the Company
- Tripledot Studios is one of the largest independent mobile games companies in the world.
- A multi-award-winning organization with a global 2,500+ strong team across 12 studios.
- Portfolio includes major titles in mobile gaming, reaching top chart positions and engaging over 25 million daily active users.
- Guiding principle: when people love what they do, what they do will be loved by others.
- Building a company filled with driven, smart, detail-oriented people who love making games.
- Ambition to be the most successful games company in the world.