Staff Machine Learning Engineer - Applied ML & Research
Core
Drive development of machine learning solutions powering critical features for online gaming platforms, impacting security, user experience, and data-driven decision-making.
Role type
Staff Machine Learning Engineer (Applied ML & Research)
Builds
Scalable ML models, classifiers, regressors, and rule-based systems for online gaming platforms
Domain
Online gaming, sports, and fan experiences
Deliverable
production ML models
Required skills
Python, SQL, machine learning pipelines, orchestration tools, Large Language Models (LLMs), model training and evaluation, feature engineering, cross-functional leadership
Preferred skills
MLflow, ZenML, Metaflow, AWS services (EC2, EKS, CloudFormation, Cognito), streaming data platforms (Kafka), open-source ML contributions, ML conference publications
Technologies
PyTorch, XGBoost, Scikit-learn, Airflow, SageMaker Pipelines, Kafka, AWS
Responsibilities
Identify high-impact ML opportunities and influence stakeholders; Design and develop scalable ML models; Own the full ML lifecycle from data exploration to deployment; Translate complex technical concepts into clear insights; Set and guide technical direction across ML projects; Mentor junior engineers
Seniority
Staff, hands-on IC with strategic leadership
