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SeniorFull-timePythonJavaRustC++KubernetesMachine LearningTensorFlowPyTorchML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Listing Integrity team at Airbnb is seeking a Machine Learning Engineer to help prevent fraudulent listings and protect guests. This role involves working with data scientists, designers, and product managers to innovate new ways to stop bad actors and reduce financial losses associated with fraud.
Key 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.
- →Collaborate with Data Scientists and other Machine Learning Engineers to develop the best modeling strategy for defending against fake listings.
- →Work collaboratively with cross-functional partners to identify opportunities for business impact and prioritize requirements for fraud detection and mitigation.
- →Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
Requirements
- ✓5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- ✓Strong programming skills in Scala, Python, Java, or C++
- ✓Deep understanding of Machine Learning best practices, algorithms, and domains
- ✓Experience with technologies like Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka, or Hive
- ✓Industry experience building end-to-end Machine Learning infrastructure
- ✓Exposure to architectural patterns of large-scale software applications
Benefits
- ★Employee Travel Credits
