Jobs / United States / Airbnb

Airbnb

Staff Software Engineer AI, Platform

United States Posted today

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Skills this job asks for

Machine learningProduct managementTensorFlowPyTorchAirflowSparkDockerKubernetesCustomer servicePythonJava

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Airbnb paid sponsored hires in similar roles82 certified filings for “Software Engineer” (Software Developers) in CA: $191k–$204k, median $196k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Airbnb paid sponsored hires in similar roles
82 certified filings for “Software Engineer” (Software Developers) in CA: $191k–$204k, median $196k. Most were filed at wage level III (45%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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: 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

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