The opportunity
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…
What you'll do
Spearhead LLM agents, realtime anomaly detectors, and other breakthrough: solutions that solve real-world problems and create product magic.
Collaborate with product, engineering, ops, and data science to spot high: leverage opportunities, refine AI/ML requirements, make principled architecture choices, and measure business value with clear, data-driven metrics.
Design, train, deploy, and operate large-scale AI applications for both batch: and streaming workloads, ensuring low latency, high reliability, and continuous improvement via automated monitoring and retraining loops.
Mentor and inspire teammates, fostering a collaborative,: experimentation-driven environment where cutting edge research meets production excellence and every engineer is empowered to push AI boundaries at Airbnb.
+ years of industry experience in applied AI/ML, inclusive MS or PhD in relevant fields.
Strong programming (Python/Java) and data engineering skills.
What they're looking for
- Proven mastery of modern AI/LLM workflows: prompt engineering, fine tuning (LoRA, RLHF), hallucination mitigation, safety guardrails, and rigorous online/offline testing to minimize training/inference drift and ensure reliable outcomes.
- Handson experience with at least three of the following: PyTorch/TensorFlow , scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), largescale data streaming & processing (Spark, Ray, Kafka)
- Demonstrated success designing, deploying, and monitoring production AI: systems - e.g. personalization engines, generative content services - complete with drift/cost/latency monitoring, automated retraining triggers, and cross-functional collaboration that translates ambiguous business needs into measurable AI impact.
- Prior knowledge of AI/ML Applications in the Payments domain is highly desirable
