Senior Machine Learning Engineer - Applied ML & Research
Core
Develop cutting-edge machine learning solutions to power critical features, platform security, and data-driven decision-making for online gaming platforms.
Role type
Senior Machine Learning Engineer (Applied ML & Research)
Builds
Production ML systems (classifiers, regressors, ranking/retrieval) and reliable training/inference pipelines for online gaming platforms.
Domain
Online gaming, sports, and fan experiences
Deliverable
production ML models
Required skills
Python, SQL, machine learning fundamentals, Large Language Models (LLMs), feature engineering, model deployment and monitoring, code quality and testing
Preferred skills
MLflow, ZenML, Metaflow, AWS services (EC2, EKS, CloudFormation, Cognito), streaming data platforms (Kafka), open-source ML contributions
Technologies
PyTorch, XGBoost, Python, SQL, MLflow, ZenML, Metaflow, AWS, Kafka
Responsibilities
Partner with product and engineering to execute ML use cases; Design, build, and iterate on ML solutions; Contribute across the ML lifecycle from data exploration to monitoring; Implement reliable training/inference pipelines; Communicate model behavior and results to stakeholders; Contribute to team standards for code quality and responsible ML practices
Seniority
Senior, hands-on IC
