HimalayasHimalayas logo
AirbnbAI

Senior Staff Machine Learning Engineer, Post Training

Founded in August of 2008 and based in San Francisco, California, Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7.

Airbnb

Employee count: 5000+

Salary: 248k-310k USD

United States only

Stay safe on Himalayas

Never send money to companies. Jobs on Himalayas will never require payment from applicants.

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 principle 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. 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

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Salary

Salary: 248k-310k USD

Education

Postgraduate degree

Experience

10 years minimum

Experience accepted in place of education

Location requirements

Hiring timezones

United States +/- 0 hours

About Airbnb

Learn more about Airbnb and their company culture.

View company profile

Founded in August of 2008 and based in San Francisco, California, Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7.4 million available listings of homes and experiences, all powered by local hosts.

An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than 825 million guest arrivals to date, and accessible in 62 languages and dialects across 220 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.

Employee benefits

Learn about the employee benefits and perks provided at Airbnb.

View benefits

Life insurance

We'll cover your life insurance so you don't have to worry.

Work from anywhere

You can work from home or the office—whatever works best for you.

Equity benefits

Every employee gets equity, so you are rewarded for your best work.

Paid volunteer leave

Take a week per year on us to volunteer at a non profit that matters to you.

View Airbnb's employee benefits
Claim this profileAirbnb logoAI

Airbnb

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

36 remote jobs at Airbnb

Explore the variety of open remote roles at Airbnb, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Airbnb

Remote companies like Airbnb

Find your next opportunity by exploring profiles of companies that are similar to Airbnb. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan