Staff Software Engineer

Summary

Join Airbnb's Host Pricing & Settings organization as a Staff Software Engineer to build the next generation of tools for Airbnb hosts. You will collaborate with cross-functional teams to design, develop, and build tools that enhance the quality, efficiency, and speed of ML training and serving data. A key focus is delivering model recommendations to users and ensuring seamless integration with Host Pricing functionality. You will build infrastructure to support real-time decision-making, manage end-to-end data workflows, and optimize real-time serving systems. This role also involves mentoring team members and contributing to long-term ML Infra and Data workflow strategies. The position is remote-eligible within the USA, with occasional office work or offsites.

Requirements

• 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

Responsibilities

• 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

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits