Loading...
LeadFull-timePythonJavaC++KubernetesMachine LearningTensorFlowPyTorchGitAI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. This role involves developing end-to-end ranking algorithms and ecosystems to optimize critical business objectives.
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 cross-functional partners including software engineers, product managers, operations and data scientists to identify opportunities for business impact.
- →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, high-performing Machine Learning systems.
Requirements
- ✓9+ 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 and productionizing Machine Learning models.
- ✓Exposure to architectural patterns of large-scale software applications.
Free to sign up. Takes 30 seconds.
