About the role

Principal Machine Learning Engineer architecting production ML systems for Xsolla, a global video game commerce company. Leading initiatives, improving engineering standards, and mentoring ML engineers.

Responsibilities

Advanced Degree in Statistics, machine learning or related areas
Statistics/ML expertise with a track record of leading high-impact data science initiatives at the scale of billions of transactions
Hands-on experience creating, training, and fine-tuning models rather than only integrating hosted model APIs
Ability to explain data, objectives, failures, before/after evaluation numbers, and reasons for model performance
Experience owning production models, including deployment, monitoring, drift detection, and retraining with real latency budgets
Production experience with classical ML for fraud/anomaly detection, recommendation, or churn/LTV
Knowledge of supervised learning, transfer learning, and neural networks
Basic LLM knowledge, including appropriate and inappropriate use cases
MLOps foundations: feature stores, experiment tracking, model registries, and continuous training pipelines
Model serving and inference optimization, including vLLM-class serving and quantization