Staff Software Engineer AI, Platform

• 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:

At Airbnb, our mission is to create a world where anyone can belong anywhere. We use Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience.

The Difference You Will Make:

• In this role, you'll help us build a suite of tools which together form the foundation with which ML & AI is created at Airbnb.
• You will contribute to creating a scalable shared platform that accelerates the pace of Machine Learning design & development and the deployment of impactful, high-quality ML use cases company-wide.
• You'll also join us in creating the GenAI infrastructure that will make AI the center of our business .

A Typical Day:

• Build scalable GenAI infrastructure to support the fast evolving needs of Airbnb teams using foundational language / vision models to power next-gen product experiences
• Drive expansions of our ML platform to improve the productivity of 200+ ML Engineers & Data Scientists who rely on us
• Create solid data foundations to power the data-driven product features (e.g. Categories ) that are at the center of Airbnb's product roadmap by creating scalable human & AI Labeling infrastructure
• Use OSS technologies such as Ray, MLFlow, Tensorflow, PyTorch, LangChain, Airflow, Spark, Docker, Kubernetes, Jupyterhub, etc.
• Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins

Your Expertise:

• 9+ years of industry experience (and/or relevant academic experience)
• Solid understanding of engineering and infrastructure best practices
• Strong coding skills in Python/Java or equivalent
• Strong Experience and knowledge of distributed systems
• Industry experience building end-to-end Machine Learning Platforms is a plus
• Experience developing and productionizing machine learning models is a plus
• Experience with Kubernetes, Spark, Docker, Airflow 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: [email protected] .
• 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

$212,000 — $265,000 USD

• A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses.
• Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.
• We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process.
• We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.