Staff ML Engineer — Personalization & Relevance

airbnb, Inc.; Northern (KY); Hybrid; USD 190,000 - 260,000; Full time

Job summary

Airbnb seeks a Staff Machine Learning Engineer for the Relevance and Personalization team in the United States. You will lead end-to-end ranking models, collaborate with software engineers, PMs, and data scientists, and productionize ML pipelines at scale to optimize search and recommendations across the platform.

The role focuses on building cutting-edge AI systems using structured and unstructured data, with emphasis on impactful business objectives and a scalable infrastructure.

Qualifications

• Minimum 9+ years of industry experience in applied machine learning.
• Strong programming in Scala, Python, Java, or C++ with data engineering skills.
• Advanced degree or equivalent in relevant fields (MS/PhD).
• Experience with end-to-end ML systems and ranking/recommendation domains.

Responsibilities

• Develop and productionize ML models and pipelines at scale.
• Collaborate with cross-functional teams to drive impact and requirements.
• Hands-on model development, serving, and real-time/batch processing.
• Leverage in-house and third-party tools to build high-performing systems.

Skills

Industry experience

Programming

Data engineering

ML fundamentals

NLP/vision/recs domain knowledge

Education

MS or PhD in relevant field

Tools

TensorFlow

PyTorch

Kubernetes

Spark

Airflow

Kafka

Hive

Job description

Airbnb seeks a Staff Machine Learning Engineer for the Relevance and Personalization team in the United States. You will lead end-to-end ranking models, collaborate with software engineers, PMs, and data scientists, and productionize ML pipelines at scale to optimize search and recommendations across the platform.

The role focuses on building cutting-edge AI systems using structured and unstructured data, with emphasis on impactful business objectives and a scalable infrastructure.