Airbnb Staff Software Engineer Trust & Safety 

India, Karnataka, Bengaluru 

17104556

As part of the Trust Engineering team, you will be in charge of designing large-scale systems to detect and mitigate fraud, abuse, and safety risks across our platform. You will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science, and operations teams to understand ever-evolving attack vectors. You’ll also work closely with other Trust engineers—whether focused on defense or platform—to build tools and frameworks that make our defenses more adaptive, efficient, and resilient.

Your contributions may take a variety of forms, including:

• Designing, implementing, and operating resilient and scalable distributed systems.
• Collaborating with cross-functional partners—including software engineers, product managers, data scientists, and operations teams—to understand business impact, define requirements, and drive engineering decisions.
• Building and evolving platform capabilities to address the ever-changing landscape of fraud, abuse, and safety risks across Airbnb.
• Partnering with teams across Trust, Payments, and Community Support to identify and implement system improvements that increase the reliability, scalability, and efficiency of our defenses.
• Contributing critical input to the Trust Engineering roadmap and long-term technical direction.
• Developing, productionizing, and operating machine learning models and pipelines at scale, for both batch and real-time use cases.
• Mentoring other engineers and helping them grow their technical and collaboration skills.
• Advocating for and contributing to improvements in Airbnb’s engineering processes and foundational systems.

Your Expertise

• 9+ years of industry engineering experience.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Hands on experience leading project teams and setting technical direction.
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with platform architecture patterns and best practices. Experience with building and leading infrastructure is a plus.
• Experience with the Trust and Risk domain is a plus.
• Experience with hands on machine learning model development is a plus.

Offices: Bangalore, India