Airbnb
Technology
SeniorMachineLearningEngineer
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“Senior Machine Learning Engineer at Airbnb. Skills: Machine Learning, productionizing models at scale, end-to-end Machine Learning pipelines. contribute code and ideas that shape the ML systems. own and deliver ML projects end-to-end”
What You'll Achieve.
reduce risks posed by bad actors; ensure the platform remains seamless and welcoming for everyone else; helping real users stay safe and confident as they travel, host, and connect on Airbnb
Industry & Context.
Investigate emerging fraud patterns and threat signals
must live in a state where Airbnb, Inc. has a registered entity
What They're Looking For.
Must Have
5–10 years of industry experience in applied Machine Learning, track record of building and productionizing models at scale, programming skills in Python, Solid understanding of Machine Learning best practices, Experience with data engineering and building end-to-end ML pipelines, Experience with test-driven development, incremental delivery, and deployment practices, A Bachelor's, Master's, or PhD in CS/ML or a related field
Nice to Have
familiarity with Scala, Java, or equivalent, algorithms such as gradient boosted trees, neural networks, transformers, and deep learning, Exposure to architectural patterns of large, high-scale software applications, Exposure to the Trust and Risk domain (e.g., fraud detection, anomaly detection, identity, account integrity)
What You'll Do.
contribute code and ideas that shape the ML systems
own and deliver ML projects end-to-end
designing and training models
productionizing and operating them at scale
tackle real-world challenges such as account takeover
reduce risks posed by bad actors
ensure the platform remains seamless and welcoming
identify opportunities
and refine requirements for new or improved Trust models
and productionize end-to-end Machine Learning pipelines
Investigate emerging fraud patterns and threat signals
develop ML-based detections and tools
improving an existing pipeline
optimizing a feature for scalability and reliability
Work with large-scale structured and unstructured data
continuously improve ML models
adapt models and systems to an evolving landscape of fraud attacks
How You'll Work.
Team & Collaboration
work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams; collaborating closely with cross-functional partners; Collaborate with product managers, data scientists, software engineers, and operations teams; Participate in code reviews, design discussions, and cross-team collaborations; Work closely with trust defense and platform teams
Process & Methodology
scope ML solutions
Full Job Description
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. You'll work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams. Together, you'll design and build ML solutions that have direct, meaningful impact on user trust, business success, and the global Airbnb community. The Difference You Will Make: As a Senior Machine Learning Engineer on the Trust team, you will actively contribute code and ideas that shape the ML systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end — from designing and training models to productionizing and operating them at scale — while collaborating closely with cross-functional partners. You'll tackle real-world challenges such as account takeover, fake accounts, payment fraud, and bot detection. Your wor
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