# Senior Machine Learning Engineer, Relevance and Personalization at Airbnb

Airbnb's Relevance and Personalization team drives search and recommendation experiences across the platform, serving millions of hosts and guests globally. In this senior role, you'll architect end-to-end ranking algorithms and ML systems that optimize critical business objectives, working with diverse data types including structured records, sequences, images, and text. Your work directly influences marketplace health and user experience at massive scale.

You'll own the full ML lifecycle—from data pipeline design through model development, deployment, and real-time serving. Collaboration is central to the role: you'll partner with software engineers, product managers, and data scientists to translate business problems into ML solutions. Day-to-day work involves building and improving cutting-edge models, leveraging internal and third-party ML infrastructure, productionizing systems for both batch and real-time use cases, and experimenting rigorously to quantify impact.

This role requires five-plus years of applied ML experience (with MS or PhD preferred), strong coding ability in languages like Python or Scala, and deep knowledge of ML best practices from feature engineering to A/B testing. You should be comfortable with multiple tools from the modern ML stack—TensorFlow, PyTorch, Spark, Kubernetes, Airflow—and have shipped end-to-end ML infrastructure or production models at scale. Experience with large language models, NLP, and AI-native search is valued. The position is US-based and remote-eligible.

Location: United States

Apply: https://getfoundi.com/apply/senior-machine-learning-engineer-relevance-and-personalizati-0e536b9b

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