Trust & Safety Software Engineer - Remote

Jobgether; United States; On-site; USD 162,000 - 186,000; Full time

Benefits offered by this job

Bonus & Equity (potential)

Employee travel credits

US-remote eligible

Job summary

Partner Company in the United States is seeking a Software Engineer in Trust to help build scalable systems that detect fraud and protect users. The role collaborates with ML engineers, data scientists, and product teams to reduce losses while minimizing friction for legitimate users.

You will work on productionized ML integrations, high-volume data pipelines, and secure APIs across the tech stack. This remote US opportunity emphasizes reliability, performance, and strong ownership of meaningful

Qualifications

• 3+ years of professional software engineering experience building and operating at-scale systems.
• Passion for building user-facing products and robust backend services.
• Experience with one or more of Ruby/Ruby on Rails, Java, JavaScript, Python, or Scala.
• Ability to write production-quality, maintainable code and design scalable APIs.

Responsibilities

• Build and operate large-scale backend systems that detect fraudulent activity, using rules, productionized machine learning models, APIs, and high-volume data pipelines.
• Investigate end-to-end systems to understand how fraudulent listings are created, where vulnerabilities exist, and how bad actors can be detected or prevented.
• Partner with machine learning engineers, data scientists, product managers, designers, research teams, and customer service operations to identify, refine, prioritize, and deliver high-impact fraud prevention initiatives.
• Develop tooling and automation that enables operations teams to investigate and mitigate fraudulent activity more efficiently and consistently.
• Design and implement user challenges and verification mechanisms that prevent fraudulent listings while minimizing disruption to legitimate users.
• Build and improve data pipelines and supporting infrastructure for machine learning and fraud detection systems.

Skills

Ruby / Ruby on Rails

Java

JavaScript

Python

Scala

Education

Master's degree or PhD in CS or related

Job description

Partner Company in the United States is seeking a Software Engineer in Trust to help build scalable systems that detect fraud and protect users. The role collaborates with ML engineers, data scientists, and product teams to reduce losses while minimizing friction for legitimate users.

You will work on productionized ML integrations, high-volume data pipelines, and secure APIs across the tech stack. This remote US opportunity emphasizes reliability, performance, and strong ownership of meaningful