Machine Learning Engineer

• Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advances and testing what works best for our games.
• Design experiments and prototypes to evaluate 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 managed and deployed through the ML lifecycle.
• Design, develop, and evaluate A/B tests to measure the effectiveness of personalization algorithms and optimize player experience.
• Continuously monitor and analyze player data to identify new opportunities for personalization and improve existing algorithms.
• Document work clearly and concisely, fostering knowledge sharing within the team.

• Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics) or equivalent experience.
• Strong understanding of industry-standard ML techniques, from classification to reinforcement learning and generative methods.
• Experience applying machine learning algorithms to solve real-world problems.
• Experience with software development practices such as CI/CD, version control, containers (Docker & Kubernetes) and a proven track record of deploying ML models to production using MLOps concepts.
• Proficiency with analytical programming and visualization libraries (SQL, Python, Matplotlib, etc.) and supporting tools (git, MLflow, Kubernetes, Kubeflow, Trino, Airflow).
• Strong grasp 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.
• Passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

• Experience with more complex ML techniques such as reinforcement learning.
• Experience with A/B testing methodologies in an online gaming context.
• Experience working in the games industry.

Working at Tripledot - Benefits

• 25 days of paid holiday plus bank holidays.
• Hybrid working: 20 days remote work and up to 20 days of mandatory office attendance.
• Regular company events and rewards celebrating achievements and team spirit.
• Private medical cover.
• Life and critical illness cover.
• Family formation support (subject to policy).
• Employee Assistance Program.
• Sport compensation.
• Meal and transport vouchers.
• English and Spanish classes.

full_time

Organization PVH (Tommy Hilfiger/Calvin Klein)