9 days ago
Base Salary
$191k - $223k/yr
Responsibilities
- Lead development of LLM agents, real-time anomaly detectors, and other AI/ML solutions for payment products.
- Design, train, deploy, and operate production AI applications across batch and streaming workloads.
- Build low-latency, highly reliable services with automated monitoring, retraining triggers, and continuous improvement loops.
- Collaborate with product, engineering, operations, and data science teams to define requirements, choose architectures, and measure business value.
- Establish technical standards for model governance, drift monitoring, cost and latency monitoring, online/offline testing, and engineering excellence.
- Mentor and inspire teammates while contributing to an experimentation-driven engineering culture.
Requirements
- 5+ years of industry experience in applied AI/ML, with an MS or PhD in a relevant field.
- Strong programming and data engineering skills using Python or Java.
- Expertise in prompt engineering, fine-tuning, LoRA, RLHF, hallucination mitigation, safety guardrails, and online/offline testing.
- Hands-on experience with at least three of PyTorch, TensorFlow, scalable inference stacks, vector search, Kubeflow, Airflow, Spark, Ray, and Kafka.
- Demonstrated success designing, deploying, and monitoring production AI systems such as personalization engines or generative content services.
- Experience implementing drift, cost, and latency monitoring, automated retraining triggers, and cross-functional delivery of measurable AI impact.
- Prior AI/ML applications experience in the payments domain is highly desirable.
Benefits
- US remote-eligible position, with occasional Airbnb office work or offsite attendance as agreed with the manager.
- Employees may be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Remote work requires residence in a state where Airbnb, Inc. has a registered entity.
Tech Stack
Categories
About Airbnb
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, experiences and services that make it possible for guests to connect with communities in a more authentic way.