Synced from Greenhouse · Aug 26

Machine Learning Engineer

AirbnbRemote-USAPosted Aug 26, 2026
Machine Learning EngineerRemoteSenior
Apply now - freeSave & get alerts

Mirrored from Airbnb's own Greenhouse careers system · refreshed hourly

$191k–$223k
Compensation
167
Other open Airbnb roles
Aug 26
Posted
Greenhouse
Applicant system
Job descriptionReq 7755758

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:

Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening.

The Difference You Will Make:

As a Senior ML Engineer for Payments, you will be the catalyst that transforms bold AI innovation -  LLMpowered workflow, realtime fraud defenses, and hyperpersonalized checkout flows -  into production systems that make Airbnb Payment experience feel effortless and secure; you’ll architect and own end-to-end solutions at global scale, partner closely with product, software, and operations teams to turn complex requirements into elegant, latencyfirst services, and set the technical standard for model governance, continuous learning, and engineering excellence that elevates our entire payments ecosystem while shaping the company’s broader AI strategy.

A Typical Day: 

  • Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real-world problems and create product magic.
  • Collaborate with product, engineering, ops, and data science to spot high leverage opportunities, refine AI/ML requirements, make principled architecture choices, and measure business value with clear, data-driven metrics.
  • Design, train, deploy, and operate large-scale AI applications for both batch and streaming workloads, ensuring low latency, high reliability, and continuous improvement via automated monitoring and retraining loops.
  • Mentor and inspire teammates, fostering a collaborative, experimentation-driven environment where cutting edge research meets production excellence and every engineer is empowered to push AI boundaries at Airbnb.


Your Expertise:

  • 5+ years of industry experience in applied AI/ML, inclusive MS or PhD in relevant fields.
  • Strong programming (Python/Java) and data engineering skills.
  • Proven mastery of modern AI/LLM workflows — prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training/inference drift and ensure reliable outcomes.
  • Handson experience with at least three of the following: PyTorch/TensorFlow , scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), largescale data streaming & processing (Spark, Ray, Kafka)
  • Demonstrated success designing, deploying, and monitoring production AI systems - e.g. personalization engines, generative content services - complete with drift/cost/latency monitoring, automated retraining triggers, and cross-functional collaboration that translates ambiguous business needs into measurable AI impact.
  • Prior knowledge of AI/ML Applications in the Payments domain is highly desirable

 

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
$191,000$223,000 USD
View original posting on Greenhouse

What applying to Airbnb usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Airbnb can typically expect an initial application review followed by a recruiter screen to discuss background and role fit. The process may include multiple stages such as hiring manager conversations, functional or role-specific assessments, and panel interviews with team members, depending on the position, whether technical like software-engineer or data-engineer, or non-technical like account-manager or marketing-manager. Take-home exercises or case studies are common for design, analytics, and product-oriented roles. Communication is generally handled through the Greenhouse platform, with updates sent via email or an online portal. Response times vary and candidates should not assume a fixed timeline. Overall, applicants can generally expect a structured, multi-step evaluation process consistent with common industry practices for companies using this applicant tracking system.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Free to start · No credit card · Cancel anytime

Keep exploring

What this role pays, where else it is open, and how to write the application.

Machine Learning Engineer
Airbnb · Remote-USA
Apply