Conduct research on cutting-edge machine learning algorithms for personalisation 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.
Requirements & Skills:
A Bachelor’s degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics) or equivalent experience.
Strong understanding of industry-standard ML techniques (e.g. Classification, Regression, Clustering, Recommendation Systems, etc)
Experience in applying machine learning algorithms to solve real-world problems.
Proven experience in coding algorithms from research papers into production-ready code (Python preferred).
Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production.
A good command of analytical programming and visualisation languages and libraries (SQL, python and/or R, matplotlib / ggplot etc.) as well as supporting tools and platforms (e.g. git, Sagemaker, VS Code).
A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
A passion for mobile gaming and a strong desire to create engaging player experiences.
