Remote Senior Staff Machine Learning Engineer

Summary

Join the Relevance and Personalization team at Airbnb as a leader in search and personalization across the entire digital platform. Work on critical projects with focus on search ranking, recommendations, autocomplete, query understanding, and Airbnb's ranking platform.

Requirements

• 12+ years of industry experience in applied Machine Learning
• A Bachelor’s, Master’s or PhD in CS/ML or related field
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• 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 (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• 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
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
• Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems

Benefits

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