Senior Machine Learning Engineer, Recommendation & AI Applications
Core
Design, build, and iterate on high-throughput, low-latency recommendation systems and apply LLMs to content understanding and user intent modeling for NewsBreak's core feed serving tens of millions of users.
Role type
Senior Machine Learning Engineer (Recommendation & AI Applications)
Builds
Core feed, retrieval, and ranking systems; AI-driven innovation projects for content discovery and personalization.
Domain
News & Information / Recommendation Systems / Generative AI
Deliverable
production ML models
Required skills
Recommendation system fundamentals, Python, Java, Scala, PyTorch, TensorFlow, large-scale data systems, distributed training, real-time inference, A/B experimentation, model drift detection
Preferred skills
LLM application to recommendation systems, 0→1 product development, AI-assisted development workflows
Technologies
Spark, PyTorch, TensorFlow, Python, Java, Scala
Responsibilities
Design and build high-throughput, low-latency recommendation systems; Improve retrieval, ranking, and multi-objective optimization; Own systems from offline training to online inference and metric analysis; Apply LLMs to content understanding and user intent modeling; Prototype and validate AI ideas for production; Contribute to 0→1 AI-powered projects.
Seniority
Senior, hands-on IC