Tech Stack

Description

As a Staff Machine Learning Engineer on the Listings and Host Tools Data and AI team, you will build and deploy ML models and pipelines to enhance the host and guest experience at Airbnb. You'll work with large-scale data, prototype new models, and collaborate with cross-functional partners to drive product improvements.

Requirements

• 8+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
• Experience in both Natural Language Processing and Computer Vision.
• Strong programming (Scala/Python/Java/C++ or equivalent) and data engineering skills.
• Deep understanding of Machine Learning best practices, algorithms, and domains relevant to NLP, CV, personalization, and anomaly detection.
• Experience with 3 or more of: Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Hive.
• Industry experience building end-to-end ML infrastructure and productionizing models.
• Exposure to architectural patterns of large, high-scale software applications.
• Experience with test driven development, A/B testing, incremental delivery and deployment.

Responsibilities

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Collaborate with cross-functional partners to identify opportunities, refine requirements, and quantify impact.
• Prototype machine learning use cases and iterate on requirements with stakeholders.
• Develop, productionize, and operate Machine Learning models and pipelines at scale, including batch and real-time use cases.
• Design and build services, API to enable serving ML model driven data to product use cases.