Senior Machine Learning Engineer, Payments - Careers

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$191,000–$223,000 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $207k
$171k most similar roles pay here $272k

This role pays less than 68% of similar roles. Most pay $196,750–$249,750 — the shaded band above. At the midpoint, this role pays about $207k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 48 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Machine Learning Engineer, Payments - Careers

As a Senior ML Engineer for Payments at Airbnb, you will join a team dedicated to enhancing the global payment experience by integrating advanced AI and machine learning technologies. Your role involves architecting and deploying large-scale systems that optimize transaction flows, prevent fraud, and enhance user personalization. Day-to-day, you’ll collaborate with cross-functional teams to develop real-time anomaly detection, LLM-powered workflows, and hyperpersonalized checkout experiences, ensuring low latency and high reliability through continuous monitoring and retraining. Essential skills include expertise in Python or Java, proficiency in PyTorch or TensorFlow, and experience with MLOps platforms like Kubeflow and Airflow. Knowledge of AI applications in payments is a significant plus, as you will contribute to shaping Airbnb’s broader AI strategy while elevating the entire payments ecosystem.

What you'll do

  • Spearhead the development and deployment of LLM agents and real-time fraud detection systems.
  • Design and implement large-scale AI applications ensuring low latency and high reliability for both batch and streaming workloads.
  • Collaborate with cross-functional teams to refine AI/ML requirements and measure business value through data-driven metrics.
  • Mentor team members and foster a collaborative environment focused on production excellence in AI.
  • Architect end-to-end solutions at global scale, setting technical standards for model governance and continuous learning.

What we're looking for

  • 5+ years of industry experience in applied AI/ML with MS or PhD.
  • Mastery of modern AI/LLM workflows including prompt engineering and fine-tuning techniques.
  • Strong programming skills in Python and Java, plus data engineering expertise.
  • Experience with PyTorch/TensorFlow, scalable inference stacks, vector search, and MLOps platforms.
  • Proven success designing, deploying, and monitoring large-scale production AI systems.
  • Knowledge of AI/ML applications in the Payments domain preferred.

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