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Senior Staff Software Engineer, Host Pricing & Settings

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

0

Seniority

Senior

Bachelor Degree12 yrs expEnglishAirflowJavaKafkaKotlinPythonScalaSpark

Job Description

Senior Staff Software Engineer, Host Pricing & Settings

Airbnb

• 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.

Job 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

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