Staff Machine Learning Engineer - Applied ML & Research

We're looking for a Staff Machine Learning Engineer to drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. As a key member of our Applied ML & Research team, you'll blend hands-on technical work with strategic thinking to shape the ML roadmap and directly impact platform security, user experience, and large-scale data-driven decision-making.

Requirements

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Benefits

• Competitive salary and benefits package
• Opportunity to work with a global technology company
• Collaborative and dynamic work environment
• Professional development and growth opportunities