Senior Machine Learning Engineer, Relevance

About this role

Build and operate large-scale machine learning systems for Airbnb search and recommendation. Develop end-to-end ranking models and infrastructure, using structured and unstructured data to improve relevance and marketplace outcomes.

About the company

Airbnb is a global online marketplace that connects travelers with hosts offering unique accommodations and experiences in various destinations. The platform serves individuals seeking short-term lodging as well as hosts looking to monetize their properties.

The team

Relevance and Personalization team

Stack

What you'll do

• Build and improve machine learning models for product, business, and operational use cases.
• Productionize and operate models and pipelines for batch and real-time use.
• Collaborate with engineering, product, operations, and data science partners to identify opportunities and measure impact.
• Develop reusable machine learning systems supporting fast development, low-latency serving, and model quality upkeep.

What we're looking for

• 5+ years of industry experience in applied machine learning, including relevant MS or PhD experience.
• Strong programming and data engineering skills.
• Deep knowledge of machine learning practices, algorithms, and domains such as search, recommendation, NLP, or computer vision.
• Experience with at least three of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, or a data warehouse such as Hive.
• Experience building end-to-end machine learning infrastructure or productionizing machine learning models.
• Familiarity with large-scale software architecture, test-driven development, A/B testing, incremental delivery, and deployment.

Benefits

• May be eligible for bonus, equity, benefits, and Employee Travel Credits.