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:

The Growth Platform team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a

best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this

by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the

Airbnb platform. The north star is full autonomy — where AI identifies opportunities, creates campaigns, personalizes experiences,

and optimizes outcomes with minimal human intervention. We are progressing along a deliberate maturity curve: AI assisted →

agentic → autonomous, with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance.

The Growth Platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated

customer engagement experiences to drive product growth. The platform also powers digital marketing channels including landing

pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the

management and optimization of these channels.

The Difference You Will Make:

As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the

future of the Airbnb agentic growth platform with cutting-edge AI techniques. You will drive and guide the rest of the

engineers to brainstorm, design and develop AI products and features from inception to production.

We're seeking a Senior Staff Engineer who thrives at the intersection of technical depth, architectural thinking, and

mentorship.

You’ll collaborate with cross-functional leaders, build resilient systems that operate globally at scale, and help evolve the

foundational building blocks behind AI-powered growth systems.

Some example projects you will work on:

AI-Powered Content Generation - Developing agentic capabilities to autonomously create personalized emails, push notifications,

Ad copy, and creatives. This significantly scales marketing efforts by enabling more campaigns, greater variant testing, and

faster iteration cycles.

ML/AI Orchestration for Decisioning - Utilizing AI to determine the optimal audience, message, channel, and timing for

communications. This shifts marketing decision-making to model-driven intelligence, enhancing relevance and minimizing message

fatigue. The direct impact is an uplift in engagement rates, conversion, and ultimately, bookings.

Proactive Marketing Analyst Agent - Designing an AI agent that autonomously identifies new marketing opportunities and converts

them into executable campaigns. It leverages world knowledge, proprietary Airbnb intelligence, and deep customer profiles. A

crucial performance-based feedback loop ensures the system continuously learns from campaign outcomes to refine and improve

future recommendations.

A Typical Day:

Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning

models and pipelines for Airbnb product, business and operational use cases.

Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify

opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering

decisions.

Hands-on develop, productionize, and operate ML/AI models and pipelines at scale, including both batch and real-time use cases.
Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and

high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Collaborate actively with engineers to apply ML / AI in their solutions to help validate ideas and guide to the right outcomes.
Partner with ML/AI Engineers in foundations engineering to mentor and develop initiatives that make ML/AI applications a core

discipline for non-ML/AI engineers.

Your Expertise:

12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields
Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering,

feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language

processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)

Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering,

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

Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data

pipelines, efficient algorithms, models)

Preferred Qualifications:

Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and

frameworks.

Agile Practice for AI Production: Experience with the entire AI product development lifecycle from incubation to production at

scale, following agile practices in the Applied AI/ML domain.

Infrastructure Acumen: Experience building robust testing frameworks for agent behavior validation and continuous improvement,

and driving architectural requirements on ML infrastructures

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, Growth Platform Engineering

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