[Hiring] Senior Machine Learning Engineer @Airbnb

Role Description

As a Senior Machine Learning Engineer on the Trust & Safety team, you will:

• Collaborate with product managers, data scientists, designers, and customer service operations.
• Innovate new ways to predict and prevent critical life safety and property damage incidents on the platform.
• 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.
• Stop critical life safety and property damage incidents in real time.
• Create new holistic machine learning model detection strategies by collaborating with other trust and safety prevention teams.
• Work collaboratively with cross-functional partners to identify opportunities for business impact.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale.

Qualifications

• 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
• A Bachelor’s, Master’s or PhD in CS/ML or related field.
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills.
• Deep understanding of Machine Learning best practices, algorithms, and domains.
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive).
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.
• Exposure to architectural patterns of a large, high-scale software applications.
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with the Trust and Risk domain is a plus.

Requirements

• Strong curiosity to deeply investigate various user patterns and behaviors.
• Ability to tackle vague and ambiguous problems.

Benefits

• Base pay range: $191,000 — $223,000 USD.
• Role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Company Description

Airbnb was born in 2007 and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals globally. The Safety team invests significant effort in keeping the community safe and building trust.