Airbnb
Senior Machine Learning Engineer, Trust
$200K–$227K
San Francisco, CA +1 · Senior · Full-time · Posted Sep 24, 2026
- Location
- San Francisco, CA
United States - Experience
- 5+ years of industry experience in applied Machine Learning.
- Education
- A Bachelor's, Master's, or PhD in CS/ML or a related field.
About the job
Build and operate machine-learning systems that detect fraud and abuse and protect Airbnb users and the platform.
What you'll do
- Design, train, evaluate, deploy, and operate end-to-end ML pipelines for batch and real-time use cases.
- Develop and improve fraud detection models and tools for threats such as account takeover, fake accounts, payment fraud, and bots.
- Collaborate with cross-functional teams to investigate emerging fraud patterns and deliver scalable, reliable ML systems.
What they ask for
- 5+ years of industry experience in applied Machine Learning, building and productionizing models at scale.
- Strong Python skills; familiarity with Scala, Java, or equivalent.
- Experience with ML frameworks and tooling such as TensorFlow, PyTorch, or equivalent, and with end-to-end batch and real-time ML pipelines.
- Experience designing and implementing ML evaluation frameworks, including ground truth, offline and online metrics, and model calibration.
Nice to have
- Exposure to the Trust and Risk domain, such as fraud detection, anomaly detection, identity, or account integrity.
- Experience with or strong interest in LLMs and GenAI technologies.
Pay
$200,000 — $227,000 USD base pay
Tools
Python, Scala, Java, TensorFlow, PyTorch
AI focus
Develop fraud and abuse detection systems; explore and productionize LLMs and GenAI for fraud detection, investigation, and response.
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