Software Engineer, Trust

Responsibilities

• Build large-scale backend systems that detect fraudsters using rules and productionized machine learning models.
• Collaborate with machine learning engineers, product managers, operations, data scientists, designers, and research partners to identify and prioritize fraud mitigation opportunities.
• Build tooling and automation that help operations teams investigate and reduce fraud.
• Develop user challenges such as location verification to prevent fraudulent listings while minimizing impact on legitimate users.
• Build data pipelines for machine learning and reduce fraud at scale.

Requirements

• 3+ years of industry experience building systems at scale, with relevant MS or PhD study potentially included in the experience qualification.
• Experience building user-facing products or large backend systems.
• Experience with Ruby, Ruby on Rails, Java, JavaScript, Python, or Scala.
• Ability to write high-performance, production-quality code.
• Exposure to architectural patterns for large-scale web applications, high-volume data pipelines, well-designed APIs, and efficient algorithms.
• Ability to collaborate with design, product, data science, and research partners and communicate with legal and operations stakeholders.
• Experience in the Trust and Risk domain is a plus.

Benefits

• US remote eligible, subject to living in a state where Airbnb, Inc. has a registered entity.
• Occasional work at an Airbnb office or attendance at offsites may be required as agreed with the manager.
• The role may be eligible for bonus, equity, benefits, and Employee Travel Credits.