Staff ML Engineer — Relevance & Personalization (Remote)

JobCubby; Northern (KY); Hybrid; USD 212,000 - 265,000; Full time

Benefits offered by this job

Bonus

Equity

Employee Travel Credits

Benefits

Job summary

Airbnb is seeking an experienced Machine Learning Engineer to lead the development of end-to-end ranking algorithms and ML infrastructure at scale. You will work with data scientists, software engineers, and product teams to build, deploy, and optimize models that improve search and recommendations across the platform.

The role emphasizes productionizing ML systems, experimentation, and efficient serving to support a healthy marketplace for hosts and guests.

Qualifications

• 9+ years of industry experience in applied Machine Learning.
• Strong programming and data engineering skills.
• Experience with ML best practices and scalable ML systems.

Responsibilities

• Work with large-scale structured and unstructured data; build and improve ML models for product and business use cases.
• Collaborate with software engineers, product managers, ops, and data scientists; identify opportunities and prioritize requirements for ML models.
• Hands-on develop, productionize, and operate ML models and pipelines at scale (batch and real-time).
• Leverage third-party and in-house ML tools/infrastructure to build reusable, high-performing systems.

Skills

Scala

Python

Java

C++

Data engineering

Education

MS or PhD in relevant fields

Tools

TensorFlow

PyTorch

Kubernetes

Spark

Airflow

Kafka

Hive

Job description

Airbnb is seeking an experienced Machine Learning Engineer to lead the development of end-to-end ranking algorithms and ML infrastructure at scale. You will work with data scientists, software engineers, and product teams to build, deploy, and optimize models that improve search and recommendations across the platform.

The role emphasizes productionizing ML systems, experimentation, and efficient serving to support a healthy marketplace for hosts and guests.