Staff Software Engineer Data for ML

The Community You Will Join:

We connect Airbnbs community with the right information in the right place at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations and travelers get just the information they need to enjoy their stay worryfree. Additionally we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting and adding meaning to our guests trips.

The data team utilizes industryleading tools builds scalable data systems and applies cuttingedge ML models to provide insights and empower all products in the Communication and Connectivity (CnC) organization.

The Difference You Will Make:

At CnC data is foundational to our organizations role will lead key initiatives to design and build largescale distributed data systems both batch and realtime processing. The data will power machine learning models and unlock new product features. Youll be at the center of crossfunctional collaboration bridging backend frontend/client and machine learning engineering teams.

CnC is applying GenAI and large language models (LLMs) to power products that enhance the Airbnb experience in various surfaces including highly used ones like Messaging. Were building a robust ML platform to power our product ambitions.

A Typical Day:

• Shape the teams longterm vision and roadmap in close collaboration with crossfunctional partners across Airbnb
• Build strong relationships with partner engineering teams including backend client data science analytics and ML to drive aligned and impactful outcomes
• Design develop and maintain reliable scalable data pipelines both batch and realtime that collect process and serve data from diverse sources across Airbnb
• Implement robust offline and online feature building processes to enable faster production of ML products
• Architect and build ML infra and optimize for performance scalability and costeffectiveness
• Mentor and develop engineers on the team while also contributing to and influencing the broader data engineering community at Airbnb

Your Expertise:

• 9 years of relevant industry experience with a Bachelors and/or Masters degree in CS/EE or equivalent experience or 6 years of experience with a PhD
• Strong CS fundamentals and knowledge of architecture and common design patterns
• Youre passionate about being in a productfocused environment where everyone cares deeply about customer impact
• You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
• Experience collaborating with client backend ml analytics teams product and business partners
• Effectively work across team boundaries to establish overarching data architecture data flow and provide guidance to individual teams
• Experience working on/with endtoend Machine Learning products
• Excellent communication skills both written and verbal

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: . Please include your full name the role youre 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.