Airbnb

Senior Staff Software Engineer, Host Pricing & Settings

Remote - USA · Staff+

Work authorization requiredDetected 22 days ago

JavaKotlinScalaPlatform EngineeringKafkaMachine LearningSparkAirflowData EngineeringData ScienceMLOps

About the role

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.

a serving infrastructure where training, inference, and evaluation are consistent by design - features from a centralized store, model composition in one place, and backfills available on demand so data scientists and MLEs can evaluate candidates in days, not weeks.
Define the architecture and contracts governing how models move from development to production - feature store design, model schema management, online/offline inference consistency, and multi-version support.
Lead the buildout of a unified serving stack that eliminates per-model one-off implementations and gives data scientists a turnkey path from training to production.
Review and evolve the ML serving architecture - making tradeoff calls on feature pipeline design, model composition, and API interfaces.
Partner with Data Science, MLE, MLI and core Pricing & Availability systems BE teams to define artifact handoffs and integration contracts.
Drive milestone planning across the Host Pricing & Settings org, sequencing work to deliver value incrementally.
Mentor engineers through design reviews and hands-on pairing on the hardest infrastructure problems.
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.

Experience with high-scale batch and real-time data pipelines (Spark, Airflow, Kafka, or equivalent), including point-in-time correctness for backfills.
Production experience with Chronon, Tecton, Feast, or equivalent - including online/offline consistency and backfill automation.
Experience with model schema management, multi-version support, and model composition frameworks.

Feature Store Depth: Production experience with Chronon, Tecton, Feast, or equivalent - including online/offline consistency and backfill automation.
Model Serving Infrastructure: Experience with model schema management, multi-version support, and model composition frameworks.
Evaluation Velocity: Measurable impact improving the speed at which ML teams evaluate candidate models and ship to production.
The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
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.
Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process.

Behind every pricing recommendation is a sophisticated ML system undergoing a fundamental rearchitecture.
Strong programming skills in Java, Kotlin, Scala, and/or Python.

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.

This listing is sourced directly from Airbnb's careers page and normalized into a canonical job model.