Flag job

Report

Staff Software Engineer, GenAI Systems

Salary

$204k - $255k

Min Experience

9 years

Location

United States, remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. The Core Machine Learning team in the Community Support Platform (CSP) organization is one of the core teams responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI to enable an intelligent, scalable and exceptional service experience. Within the Core Machine Learning team, the AI Assistant Product Evaluation team is responsible for building reliable, high-quality, and efficient evaluation solutions, along with a cohesive suite of observability and testability tools, to accelerate AI model development, enhance the AI Assistant product experience, and empower broader AI initiatives across Airbnb Community Support Platform. The Difference You Will Make: As a Staff Software engineer (GenAI) on the AI Assistant Product Evaluation team, your expertise will be pivotal in developing and optimizing scalable engineering evaluation framework and systems for Airbnb's Generative AI products. You will work closely with a team of cross-platform engineers with collective expertise in machine learning, Conversational AI, and backend development to define and shape the future of the Airbnb Community Support experience. You will also partner with product managers, data scientists, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions. A Typical Day: Work closely with Core Modeling engineers to understand pain points in the LLM development process, and develop LLM-as-a-judge solutions and models to address metric-related challenges in a scalable and efficient way. Design, productionize, and optimize end-to-end data systems to improve the effectiveness and efficiency of the AI evaluation automation framework. Collaborate with machine learning infrastructure engineering teams to evolve how we build and test evaluation framework for Airbnb Conversational AI products. Lead all phases of software development including architecture design, implementation and testing. Work collaboratively with cross-functional partners including product managers, operations and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact. Foster a culture of engineering excellence by supporting teammates in writing high-quality code, ensuring operational reliability, and sharing knowledge across the team.

About the company

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Skills

machine learning
artificial intelligence
python
java
go
scala
software design
testing
code quality
ml infrastructure
model deployment
model serving
model monitoring
model experimentation