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Senior Machine Learning Engineer, Trust

Airbnb · Software Engineering

Location
San Francisco, CA
Metro
San Francisco Bay Area
Workplace
Unspecified
Level
Senior
Type
Unspecified
Pay
$200K–$235K/yr (estimated from posting text)
Posted
2 months ago
Source
Greenhouse

Read the full posting & apply ↗

PythonJavaScalaPyTorchTensorFlowLLMs

What the posting covers

About the company

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…

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…

The Difference You Will Make

As a Senior Machine Learning Engineer on the Trust Frontier AI team, you will actively contribute code and ideas that shape the next generation of AI systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end, from framing an…

A Typical Day

Frame and prototype ML and agentic solutions for problems that do not yet have an established approach, in partnership with product managers, data scientists, and front line defense teams. Design, build, and productionize end-to-end Machine Learning pipelines…

Your Expertise

5-10 years of industry experience in applied Machine Learning, with a track record of building and productionizing models at scale. 1-2+ years of hands-on experience with LLMs and GenAI technologies, including building with agentic frameworks, orchestration,…

Your Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered…

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified…

How We'll Take Care of You

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in…