> Markdown version of [/jobs/ext/1986368-senior-machine-learning-engineer-recommendation-ai-applications](https://www.wearedevelopers.com/jobs/ext/1986368-senior-machine-learning-engineer-recommendation-ai-applications). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer, Recommendation & AI Applications - **Company:** News Break - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Content Analysis, Distributed Computing Environment, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Large Language Models, Apache Spark, Machine Learning Operations, Software Coding - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/senior-machine-learning-engineer-recommendation-and-ai-applications-mountain-view-ca-usa-58855740 ## About the Role _ 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 ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)