Senior Machine Learning Engineer, Recommendation & AI Applications

Experteer Overview In this role, you will advance NewsBreak’s large-scale recommendation systems and apply AI/LLM technologies to real-world problems. You’ll own core feed, retrieval, and ranking systems serving tens of millions of users, while exploring AI-driven innovations to improve content discovery and personalization. You work with cross-functional teams to deliver reliable, scalable models and experiments that impact engagement and business metrics. This is an opportunity to shape the infrastructure for content intelligence in a high-growth environment. Compensation / Benefits * Design, build, and iterate on high-throughput, low-latency recommendation systems powering core feeds * Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics * Own systems from offline training to online inference, including A/B experiments and metric analysis * Identify and resolve issues related to data quality, model drift, and production performance * Apply LLMs and foundation models to recommendation-related problems such as content understanding and user intent modeling * Prototype quickly and push successful ideas into production * Embrace AI-assisted development workflows across feature ideation, prototyping, and experiment analysis * Contribute to 0-1 AI-powered projects from exploration to MVP and production Tasks * 3+ years of industry experience building machine learning or recommendation systems in production * Strong understanding of recommendation system fundamentals (ranking, embeddings, user/item modeling, experimentation) * Strong coding skills with Python / Java / Scala, and experience with PyTorch or TensorFlow * Experience with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference) * Ability to own features end-to-end and deliver measurable business impact Key requirements * Health, dental, and vision care (100% for employee) * Top-tier 401(K) plan with company matching * Paid time off and paid holidays * FSA, HSA and commuter benefits * Team activity budget

_ and production performance * Apply LLMs and foundation models to recommendation-related problems such as content understanding and user intent modeling * Prototype quickly and push successful ideas into production * Embrace AI-assisted development workflows across feature ideation, prototyping, and experiment analysis * Contribute to 0-1 AI-powered projects from exploration to MVP and production Tasks * 3+ years of industry experience building machine learning or recommendation systems in production * Strong understanding of recommendation system fundamentals (ranking, embeddings, user/item modeling, experimentation) * Strong coding skills with Python / Java / Scala, and experience with PyTorch or TensorFlow * Experience with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference) * Ability to own features end-to-end and deliver measurable business impact Key requirements * Health, dental, and vision care (100% for employee) * Top-tier 401(K) plan with company matching * Paid time off and paid holidays * FSA, HSA and commuter benefits * Team activity budget