Offer summary

Qualifications:

5+ years of industry experience in applied Machine Learning., Strong programming skills in Python and data engineering tools like SQL and Spark., Deep understanding of Machine Learning best practices, algorithms, and architectures such as neural networks and gradient boosting trees., Advanced degree (MS or PhD) in relevant fields is a plus..

Key responsibilities:

Collaborate with teams to understand emerging fraud vectors and develop data pipelines using LLMs.

Fine-tune models to enhance accuracy and debug failure cases.

Build workflows for automation using LFM-based methods.

Work with cross-functional teams to identify opportunities for business impact.

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:

The AI ML community at Airbnb consists of people who are excited about new technologies, eager to simplify complex systems, and who like to be handson developers. They are driven by impact and are interested in building working solutions. They dont shy away from the constraints imposed by the business.

The Difference You Will Make:

Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform.

A Typical Day:

Work with the operations team to understand new emerging fraud vectors that are slipping through our defenses.

Write data pipelines to generate labels using an LLM based virtual judge.

Fine tune models to improve accuracy.

Debug failure cases for existing models.

Build LFM based workflows for automation.

Collaborate with crossfunctional partners including software engineers, product managers, operations and data scientists to identify opportunities for business impact, and analyze and quantify potential impact.

Your Expertise:

5+ years of industry experience in applied Machine Learning. An advanced degree such as an MS or PhD in relevant fields is a plus.

Strong programming (Python Java or equivalent) and data engineering (SQL Spark) skills.

Deep understanding of Machine Learning best practices (e.g. trainingserving skew minimization, AB test, feature engineering, featuremodel selection), algorithms and architectures (e.g. gradient boosted trees, neural networksdeep learning, optimization), domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection), and modern tools (LLMs, LVMs).

Experience with building and fine tuning models using Tensorflow, PyTorch, or Jax.

Industry experience building endtoend Machine Learning pipelines.

Exposure to architectural patterns of large, highscale software applications (e.g., welldesigned APIs, high volume data pipelines, efficient algorithms, models).

Experience with the Trust and Risk domain 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 uptodate 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 creativelyled 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 Well 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