# Senior Staff Software Engineer, Host Pricing & Settings

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 12+ years
**Skills:** Java, Kotlin, Scala, Python, Spark, Airflow, Kafka, Feature Store, Ml Serving, Model Versioning, Chronon, Tecton, Feast
**Posted:** 2026-06-30

> Senior technical IC owning the Modeling to ML Serving to API architecture for Airbnb's Host Pricing platform. Lead unified serving stack, backfill/evaluation infrastructure, and domain contracts between ML modeling and serving teams.

## Job Description

## Responsibilities
- Own the technical strategy for the full Modeling → ML Serving → API interface across the Host Pricing org.
- Define the architecture and contracts governing how models move from development to production, including 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.
- Architect backfill and evaluation infrastructure so the modeling team can simulate production inference over historical data in days, not weeks.
- Establish domain contracts between Modeling and Serving so each team can move independently with clear, enforced interfaces.
- Review and evolve the ML serving architecture, making tradeoff calls on feature pipeline design, model composition, and API interfaces.
- Write and review code for feature engineering jobs, feature store configurations, and serving service endpoints.
- 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.

## Requirements
- 12+ years in backend or platform engineering, with substantial experience building production ML systems or data-intensive infrastructure.
- Strong programming skills in Java, Kotlin, Scala, and/or Python.
- Deep understanding of ML systems design: feature stores, training/serving consistency, model versioning, and online/offline inference pipelines.
- Experience with high-scale batch and real-time data pipelines (Spark, Airflow, Kafka, or equivalent), including point-in-time correctness for backfills.
- Expertise with architectural patterns of large, high-scale applications — well-designed APIs, efficient data contracts, multi-tenant serving infrastructure.
- Proven ability to lead cross-team technical initiatives spanning ML and platform engineering.

## Nice-to-Haves
- 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.
- Track record defining and enforcing technical contracts between ML modeling, MLI, serving teams and/or product surfaces.
- Measurable impact improving the speed at which ML teams evaluate candidate models and ship to production.

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**Canonical:** https://hotfix.jobs/jobs/84fd4b1c-8fc2-41a1-91e9-c457accf76b2