19 days ago
Base Salary
$191k - $223k/yr
Responsibilities
- Lead LLM agents, real-time anomaly detectors, and other AI/ML solutions for payments use cases.
- Design, train, deploy, and operate large-scale AI applications across batch and streaming workloads.
- Build low-latency, reliable production services with automated monitoring, retraining loops, and drift, cost, and latency controls.
- Partner with product, engineering, operations, and data science teams to define requirements, select architectures, and measure business value.
- Establish technical standards for model governance, continuous learning, and production AI engineering.
- Mentor teammates and contribute to Airbnb’s broader AI strategy.
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 including LoRA and RLHF, hallucination mitigation, safety guardrails, and online/offline testing.
- Hands-on experience with at least three of PyTorch or TensorFlow, scalable inference stacks, vector search, Kubeflow or Airflow, and Spark, Ray, or Kafka.
- Experience 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 reliable AI system operations.
- Knowledge of AI/ML applications in the payments domain is highly desirable.
Benefits
- US remote-eligible position, with occasional Airbnb office or offsite attendance as agreed with the manager.
- Employees may be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Remote work requires living in a state where Airbnb, Inc. has a registered entity.
Tech Stack
Categories
About Airbnb
Airbnb operates a global online marketplace that connects hosts offering homes, rooms, and unique properties with travelers seeking short-term stays and experiences. The company earns revenue primarily through service fees on bookings; founded in 2007 and headquartered in San Francisco, it is a public company on NASDAQ (ABNB) with over 5 million hosts and guest arrivals recorded in nearly every country.