Airbnb Staff Software Engineer Host Pricing & Settings 

United States 

6574549

The difference you will make

As a Staff Engineer on the Guidance Serving team, you will drive the technical strategy and delivery of advanced online and offline serving systems, enabling seamless and reliable ML model predictions and personalized user experiences. You’ll collaborate cross-functionally with Product, Data Science, and ML Engineering to architect scalable solutions with clear domain boundaries, advance feature engineering pipelines, and continuously enhance the performance, efficiency, and impact of our end-to-end machine learning workflows.

• 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.
• Prototype new ideas and influence the serving strategy
• 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 workflow strategies, roadmaps and ML serving development within the Host Pricing organization.
• Mentor and coach team members, providing guidance in ML serving 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

Your expertise

• 9+ years of experience with a BS/Masters or 4+ years with a PhD
• You have experience leading teams, setting technical direction, building & launching high-impact models
• You have experience influencing partners as well as other engineering teams
• You exhibit 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.

Offices: United States