Key skills
ML model productionalizationDistributed systemsData processing frameworksETL pipelinesReal-time serving systemsProblem solvingCommunication skillsTeam collaborationMLETLData EngineeringAnalyticsSparkCommunicationCollaboration
About this role
Airbnb is a global company that connects hosts and guests, and they are seeking a Senior Software Engineer for the Host Pricing & Settings organization. The role involves designing and managing data workflows, building real-time serving systems, and collaborating with cross-functional teams to enhance tools for Airbnb hosts.
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 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
Requirements:
- 6+ years of experience with a BS/Masters or 4+ years with a PhD
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers
- 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