Staff Machine Learning Engineer, Platform & Production
Core
Architect and scale production-grade search and recommendation systems for a global streaming platform, bridging algorithm development with scalable software engineering.
Role type
Staff Machine Learning Engineer (Platform & Production)
Builds
Scalable MLOps pipelines, modular ML repositories, and infrastructure for large-scale model serving.
Domain
Streaming entertainment, search, and personalization
Deliverable
production ML models
Required skills
Designing scalable search/recommendation systems, large-scale distributed systems architecture, Python/Java, containerization, cloud platforms, MLOps tools (MLflow, Kubeflow, Sagemaker), CI/CD pipelines
Preferred skills
Tech lead experience, expertise in recommender system algorithms
Technologies
Python, Java, MLflow, Kubeflow, Sagemaker
Responsibilities
Architect recommendation and search model training systems, design modular ML codebases, establish engineering standards and testing frameworks, build infrastructure for model-to-serving transition, collaborate on complex ML projects, define long-term strategic goals, mentor engineers
Seniority
Staff, technical leadership & force multiplier
