Staff Machine Learning Engineer - Applied ML & Research

About the Role

It’s an exciting time to join us as a Staff Machine Learning Engineer in our Applied ML & Research team. You will drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. This Staff Machine Learning Engineer remote position offers a unique opportunity to impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

What You'll Do

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

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.

Nice to Have

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

What We Offer

• Competitive salary ranging from $140,000 to $180,000 per year.
• Fully remote work environment with flexible hours.
• Opportunities for professional development and continuous learning.
• Collaborative and innovative team culture.
• Health and wellness benefits.
• Access to cutting-edge technologies and tools.