---
title: 'Senior Staff Machine Learning Engineer, Post Training at Airbnb'
canonical: 'https://feeny.ai/job/senior-staff-machine-learning-engineer-post-training-airbnb-united-states-q5jmm87xzb8n'
type: 'job'
last_seen: '2026-09-16'
---

# Senior Staff Machine Learning Engineer, Post Training at Airbnb

- **Company:** Airbnb
- **Location:** United States
- **Compensation:** $248k–$310k
- **Work type:** remote
- **Posted:** 2026-05-05
- **Last confirmed live:** 2026-09-16
- **Apply:** https://careers.airbnb.com/positions/7858738?gh_jid=7858738

## Job description

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:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.

The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

The Difference You Will Make:

As a senior staff machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent,  recommendation, travel planning, and many more products that make meaningful impacts in the world of travel.

A Typical Day:

- Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases.
- Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits.
- Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency.
- Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases.
- Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy.

Your Expertise:

- PhD in Computer Science,  Machine Learning, Mathematics, Statistics, or related technical field.
- 10+ years of experience with developing machine learning models and products at scale from inception to business impact.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Proven record of training, fine tuning, optimizing models and inference run-time
- Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
- Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development

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.](https://careers.airbnb.com/) 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 $248,000—$310,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. 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](http://airbnb.com) or @[ext.airbnb.com](http://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.

## About Airbnb

## Company Overview
- **One-liner**: Airbnb operates a global marketplace for unique stays, experiences, and adventures, connecting hosts with travelers.
- **Entity Type**: Public (NASDAQ: ABNB)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2007
- **Founders**: Brian Chesky, Joe Gebbia, Nathan Blecharczyk

## Core Business
- **Primary industry/industries**: Online Travel & Hospitality, Software Development
- **Target customers**: B2C (travelers), C2C (hosts), with some B2B (Airbnb for Work, business travel)
- **Mission or purpose statement**: To create a world where anyone can belong anywhere, providing unique travel experiences and economic opportunity for hosts.

## Products & Services
- **Airbnb Stays**: The core platform for booking short-term rentals (entire homes, private rooms, shared spaces) in over 220 countries and regions.
- **Airbnb Experiences**: Curated, hands-on activities hosted by locals (e.g., cooking classes, guided hikes, workshops).
- **Airbnb Adventures**: Multi-day, small-group immersive trips led by local experts.
- **Airbnb for Work**: A service for companies to manage business travel and team retreats.
- **Luxe**: A premium tier offering vetted, high-end vacation homes with dedicated trip designers.

## Market Standing
- **Valuation/Market Cap**: ~$77.8B (as of recent data)
- **Key Metric**: Annual Revenue of $12.2B (based on available data)
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, Founders Fund, Y Combinator
- **Growth Signals**: 
  - **From 2007 to present**: 1.5 billion guest arrivals globally.
  - **Headcount Growth**: Employs ~21,644 people, a **+30.6% year-over-year increase**.
  - **Global Reach**: Operates in 176 countries with a strong international team (e.g., offices/employees in India, Italy, Canada, Brazil, UK, Australia, China).
  - **Public Company Status**: IPO in 2020, trading on NASDAQ.

## Competitive Advantages
- **Network Effects**: A massive, global two-sided network of 5 million+ hosts and 1.5 billion arrivals creates a formidable moat that is very difficult for competitors to replicate.
- **Brand & Trust**: A globally recognized brand synonymous with alternative accommodations and travel experiences.
- **Liquidity & Inventory**: Unrivaled inventory depth across 220+ countries, offering unique stays not found in traditional hotels.
- **Live and Work Anywhere Policy**: A radical shift in work culture that offers flexibility and a competitive edge in talent acquisition, allowing employees to live anywhere in their country of employment with no compensation change.

## Strategic Focus
- **International & Mainstream Expansion**: Continuing to grow its user base beyond early adopters into mainstream travel and new international markets.
- **Product Diversification**: Pushing hard into "Experiences" and "Adventures" to reduce reliance on accommodations and capture more of the travel wallet.
- **Leveraging AI & Technology**: Investing in AI (e.g., AI Engineer roles in Community Support) to improve the guest and host experience, search, and trust & safety.
- **Return to Travel & "Live Anywhere"**: Capitalizing on the post-pandemic shift towards remote work and long-term stays with its "Live and Work Anywhere" initiative.

## Why Work Here
- **Flexibility**: A ground-breaking **"Live and Work Anywhere"** policy. Employees can work from home, an office, or temporarily anywhere in the world (with approval). Compensation is not changed when moving within their country of employment.
- **Compelling Mission**: An opportunity to work on a platform that creates connection and economic empowerment for millions of people globally.
- **Diversity & Belonging**: Strong commitment to inclusion with numerous Employee Resource Groups (ERGs) such as Able@, Black@, Women@, Parents@, and many more.
- **Great Benefits**: 
  - **Travel Credit**: Quarterly Airbnb travel and experiences credit.
  - **Education**: Annual educational stipend.
  - **Wellbeing**: Subsidized healthcare, mental health support, family care support, and generous parental leave.
  - **Equity**: Competitive compensation including equity and an Employee Stock Purchase Program (ESPP).
- **Culture**: Values-driven with a focus on "Be a Host" (caring, open, encouraging), "Champion the Mission," and "Embrace the Adventure."
- **Work Model**: Supports a mix of remote, hybrid (be close to an office), and onsite work, giving employees significant control over their schedule.
- **Talent Community**: A highly creative and collaborative environment with industry-leading talent.

## Sources
1. [careers.airbnb.com](https://careers.airbnb.com/)
2. [careers.airbnb.com/life-at-airbnb/](https://careers.airbnb.com/life-at-airbnb/)
3. [airbnb.com](https://www.airbnb.com/)
4. [linkedin.com/company/airbnb](https://sg.linkedin.com/company/airbnb)
5. [careers.airbnb.com/positions/](https://careers.airbnb.com/positions/)

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