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# Senior Machine Learning Engineer, Recommendation & AI Applications

- **Company:** LGA AIRPORT RESTAURANTS, L.P.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $195,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Content Analysis, Software Debugging, Distributed Computing Environment, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Real-time Inference, Multi-objective Optimization, Machine Learning Operations, Drift Detection, Software Coding
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/f722d3e9-f06a-4e9a-b612-a1faa89a4126/senior-machine-learning-engineer-recommendation-ai-applications

## About the Role

Minimum Qualifications - 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 working 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.

Bonus / Plus Qualifications - Production experience applying AI or LLMs to recommendation systems. - Experience contributing to 0 * 1 AI or ML-driven products. - Familiarity with AI-assisted development tools and workflows.

## Description

We are looking for a Senior Machine Learning Engineer to help evolve our large-scale recommendation systems and apply AI / LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, while also participating in AI-driven innovation projects that explore new ways to improve content discovery, personalization, and developer productivity. This role is ideal for engineers who enjoy strong individual ownership, hands-on development, and translating ideas into reliable systems.

What You'll Work On

Large-Scale Recommendation Systems

 * Design, build, and iterate on high-throughput, low-latency recommendation systems powering NewsBreak's core feeds.
 * Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics.
 * Own systems from offline training * online inference * A/B experimentation * metric analysis.
 * Identify and resolve issues related to data quality, model drift, and system performance in production.

AI & LLM Applications

 * Apply LLMs and foundation models to recommendation-related problems such as content understanding, user intent modeling, and feature generation.
 * Prototype quickly, validate with experiments, and push successful ideas into production.

AI-Driven Development

 * Embrace AI-assisted development workflows, including LLM-powered coding, debugging, and analysis.
 * Apply AI across feature ideation, prototyping, and experiment analysis.

0 * 1 Innovation

 * Contribute to 0-1 AI-powered projects, helping take ideas from early exploration to MVP and production.