Senior Machine Learning Engineer
Core
Develop and deploy machine learning solutions for consumer growth, including fraud detection, pricing optimization, and user behavior modeling.
Role type
Senior Machine Learning Engineer
Builds
Scalable ML systems for consumer growth applications
Domain
Streaming entertainment / Consumer growth
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, SQL, large-scale data processing, model deployment
Preferred skills
distributed computing systems (Spark, Ray), consumer-facing applications experience, publications in ML conferences
Technologies
PyTorch, TensorFlow, Scikit-learn, XGBoost, Spark, Ray
Responsibilities
Build complete ML pipelines from data processing to model deployment and monitoring; Design and implement machine learning models for growth applications; Work closely with product, engineering, and senior researchers to translate requirements into effective ML solutions; Guide junior data scientists and contribute to team knowledge sharing; Stay current with ML research and explore new methodologies relevant to consumer growth challenges
Seniority
Senior, hands-on IC with mentorship responsibilities
