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. Trust Engineering is responsible for the technology vision and development

of a complex stack that runs on every key interaction on the platform. Trust Engineering is at the forefront of AI and ML

innovation, helping develop novel techniques and advancing the state-of-art in Machine Learning to continually build and maintain

trust across our platform.

The Difference You Will Make:

As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization

helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require

collaboration across many parts of the organization and many parts of Airbnb. Although you will be at one of our highest levels of

seniority, all individual contributors at Airbnb are Software Engineers which means we expect you to be hands on and contribute

code.

A Typical day:

Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments,

architecting scalable solutions, and championing best practices that advance the state-of-the-art in production ML systems.

Serve as a technical leader and mentor to other ML and software engineers across the organization, providing guidance on

complex architectural and modeling challenges, and raising the overall technical bar.

Drive and deliver large-scale, multi-quarter ML initiatives that span multiple teams, influencing roadmaps and ensuring

alignment between platform and product

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.

Work collaboratively with cross-functional partners including software engineers, product managers, operations and data

scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning

models, drive engineering decisions, and quantify impact.

Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time

use cases.

Examples include: Anomaly detection models, ML models for continuous risk evaluation, Multimodality and Agentic AI

Your Expertise:

12+ years of industry experience in applied Machine Learning
2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks,

orchestration, architecture and productionization).

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 (eg. training/serving skew minimization, A/B test, feature engineering,

feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg.

genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection)

Experience with these technologies: AgenticAI, Tensorflow, PyTorch, Kubernetes,
Industry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine

Learning models

Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data

pipelines, efficient algorithms, models)

Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
Experience with the Trust and Risk domain is a plus.

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

entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if

the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform

you what states you are eligible to work from.

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 individuals

are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and

require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting

process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online

application.

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 the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$244,000—$305,000 USD

Role

Senior Staff Machine Learning Engineer, Trust

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