Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kafka @ 4 Python @ 7 Spark @ 4 Java @ 7 Airflow @ 4 MLOps @ 4 Data Science @ 4 TensorFlow @ 4 Data Engineering @ 4 KubeFlow @ 4 Experimentation @ 4 LLM @ 4 PyTorch @ 4Details
Airbnb Payments modeling team builds intelligence and personalizations that optimize the company’s global transaction volume — collecting payments from guests, distributing payouts to hosts, and preventing fraudulent transactions.
Responsibilities
- Lead architecture, implementation, and ownership of end-to-end AI/ML solutions at global scale, with a focus on low-latency, high-reliability services for payments.
- Spearhead LLM agents, real-time anomaly detectors, and other production ML systems that create product value for payments workflows.
- Collaborate closely with product, software engineering, operations, and data science to identify high-leverage opportunities, refine requirements, and measure business impact with clear metrics.
- Design, train, deploy, and operate large-scale AI applications for both batch and streaming workloads, including automated monitoring and retraining loops to ensure continuous improvement.
- Mentor and inspire teammates, promote experimentation, and set technical standards for model governance, testing, and operational excellence.
Requirements
- 9+ years of industry experience in applied AI/ML; MS or PhD in a relevant field preferred.
- Strong programming skills, especially Python; Java experience is also listed.
- Data engineering skills and experience with large-scale data streaming and processing.
- 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.
- Hands-on experience with at least three of the following: PyTorch, TensorFlow, scalable inference stacks (Triton, vLLM), vector search, orchestration/MLOps platforms (Kubeflow, Airflow), large-scale streaming & processing (Spark, Ray, Kafka).
- Demonstrated success designing, deploying, and monitoring production AI systems such as RAG pipelines, personalization engines, and generative content services — including drift/cost/latency monitoring and automated retraining triggers.
- Prior experience or familiarity with AI/ML applications in the Payments domain is highly desirable.
Location & Work Model
- This position is US — Remote Eligible. Candidates must live in a U.S. state where Airbnb, Inc. has a registered entity. The role may include occasional work at an Airbnb office or attendance at offsites.
Compensation & Benefits
- Base pay range: $204,000 — $255,000 USD. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Inclusion & Accommodations
- Airbnb is committed to inclusion and encourages applicants from diverse backgrounds. Reasonable accommodations are available for candidates with disabilities ([email protected]).