Remote Senior Machine Learning Engineer, User Listing Marketplace Intelligence

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Airbnb

πŸ’΅ $185k-$223k
πŸ“Remote - United States

Job highlights

Summary

Join the User Listing Marketplace Intelligence Machine Learning (ULM-ML) team at Airbnb to support host personalization products and provide data-driven solutions for a superior host experience. As a senior engineer, you will partner with data science, product partners, and other ML + data engineers to execute opportunities and improve the Host and Guest product experience.

Requirements

  • 5+ years of industry experience in applied Machine Learning
  • Must have 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
  • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
  • Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
  • Exposure to architectural patterns of a large, high-scale software applications
  • Experience with test driven development, familiar with 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
  • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists
  • Identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models
  • Drive engineering decisions, and quantify impact
  • Prototype machine learning use cases for use in the product, and work with stakeholders to iterate on requirements
  • Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases

Benefits

  • US - Remote Eligible
  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

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