Staff Software Engineer: Host Pricing & Settings
The difference you will make
The 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
Your expertise
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.
Your Location:
Remote - USA
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
About the job
Apply for this position
Staff Software Engineer: Host Pricing & Settings
The difference you will make
The 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
Your expertise
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.
Your Location:
Remote - USA
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.