Senior Staff Software Engineer, Host Pricing & Settings

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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. • 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.

🏖️ Benefits

• Disability inclusive application and interview process