Senior ML Engineer, Payments — Remote

Airbnb, Inc.; United States; Remote; USD 191.000 - 223.000; Vollzeit

Zusammenfassung

Airbnb, Inc. seeks a Senior ML Engineer for Payments to transform bold AI innovations into production systems at global scale, establishing latency-first services and robust model governance.

You will own end-to-end AI workflows, partner with product, software, and operations teams, and drive measurable AI impact across payment processes. The role emphasizes hands-on development, real-time anomaly detection, and responsible deployment of large-scale AI solutions, with remote eligible work in the

Qualifikationen

• 5+ years of industry experience in applied AI/ML.
• Strong programming in Python and Java.
• Mastery of modern AI/LLM workflows — prompt engineering and RLHF.
• Hands-on with PyTorch or TensorFlow and scalable inference stacks.
• Experience with MLOps platforms (Kubeflow, Airflow) and data streaming (Spark, Kafka).
• Background in Payments domain is a plus.

Aufgaben

• Spearhead LLM agents, realtime anomaly detectors, and other breakthrough AI solutions.
• Collaborate with product, engineering, ops, and data science to define requirements and measure business value.
• Design, train, deploy, and operate large-scale AI applications with low latency and reliable monitoring.
• Mentor teammates and foster a collaborative, experimentation-driven environment.

Kenntnisse

Applied AI/ML

Python/Java

LLM workflows

PyTorch/TensorFlow

MLOps (Kubeflow/Airflow)

Data streaming (Spark/Kafka)

Ausbildung

MS or PhD in a relevant field

Tools

Kubeflow

Airflow

Spark

Kafka

PyTorch

TensorFlow

Jobbeschreibung

Airbnb, Inc. seeks a Senior ML Engineer for Payments to transform bold AI innovations into production systems at global scale, establishing latency-first services and robust model governance.

You will own end-to-end AI workflows, partner with product, software, and operations teams, and drive measurable AI impact across payment processes. The role emphasizes hands-on development, real-time anomaly detection, and responsible deployment of large-scale AI solutions, with remote eligible work in the