Staff Software Engineer: Host Pricing & Settings

Job title: Staff Software Engineer: Host Pricing & Settings in USA at Airbnb

Company: Airbnb

Job description: The difference you will makeThe Host Pricing & Settings org is looking for a Staff Software Engineer to help us craft the next generation of tools for Airbnb hosts. Our team empowers Airbnb hosts to better run their business by providing the tools and education to implement pricing strategies that adapt to their evolving goals. As a Staff Engineer on the Host Pricing ML Infra team, you will collaborate closely with our Product, Data Science, and ML Engineering teams to design strategies, develop programs, and build tools that enhance the quality, efficiency, and speed of ML training and serving data. Your work will focus on delivering model recommendations to users, ensuring seamless integration with Host Pricing functionality, and building the infrastructure necessary to support real-time, impactful decision-making.A typical day

• Design and manage end-to-end data workflows to support the ML engineering lifecycle, focusing on preparing data for model training, tracking data lineage, evolving schemas to adapt to changing needs, and ensuring data integrity and reliability in production.


• Build and optimize real-time serving systems to deliver low-latency, high-throughput APIs for model predictions and personalized recommendations, ensuring reliable and scalable performance in production environments.


• Collaborate with other product engineers and cross-functional partners to develop new Host pricing functionality and surface model recommendations, insights and analytics


• Contribute to the development of long-term ML Infra and Data workflow strategies and roadmaps and ML infrastructure development within the host pricing organization.


• Mentor and coach team members, providing guidance in ML infra and data engineering best practices and support to enhance their skills and performance.

• Ability to work in areas outside of your usual comfort zone and show motivation for personal growth

• 10+ years of experience with a BS/Masters or 6+ years with a PhD


• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.


• You are a full-cycle developer: strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle.


• You have excellent communication skills and the ability to work well within a team and across engineering teams.


• Expertise in large-scale distributed data processing frameworks like Presto or Spark.


• Prior experience with the whole lifecycle of productionalization of ML models, including ETL pipelines for data training, feature generation, model evaluation and real-time serving.


• You are a strong problem solver and have solid production debugging skills.

Expected salary:

Location: USA

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