Build and operate large-scale backend systems that detect fraudulent activity using rules, machine learning models, and high-volume data pipelines.
Investigate end-to-end systems to understand how fraudulent listings are created and where vulnerabilities exist.
Partner with machine learning engineers, data scientists, product managers, and operations teams to deliver high-impact fraud prevention initiatives.
This partner company is a mission-driven trust organization focused on protecting users from fraudulent listings and harmful experiences. They operate a global platform and value curiosity, technical depth, and collaboration among their teams.
Work with large scale back end systems to detect fraudsters using rules and productionalized machine learning models.
Collaborate cross-functionally with product managers, data scientists, and operations to identify and prioritize fraud detection opportunities.
Build tooling and automation for operations to more effectively reduce fraud and prevent fraudulent listings.
Airbnb provides a platform for hosts to offer unique stays and experiences, enabling guests to connect with communities authentically. The company has over 5 million hosts and has welcomed over 2 billion guest arrivals globally, fostering a culture of inclusion and belonging.
Work closely with Engineering Managers, Product Managers, and Product Designers to design solutions and produce high-quality code for 1M+ daily users.
Embrace agile methodologies and continuous improvement through blameless post-mortems, architecture reviews, and engineering guild sessions.
Engage in DevOps culture, proactively solve complex problems, and use iterative development with A/B testing.
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Powered by a team of over 500 people, with headquarters in London and offices in New York, Depop is committed to creating an inclusive environment and became a subsidiary of Etsy in 2021.
Develop and maintain the QAD Redzone API Backend (Scala) to ensure seamless user experience for manufacturing teams.
Improve OpenSearch usage within the backend and support AI integrations via MCP server.
Provide subject matter expertise during incidents and contribute to continuous system improvement.
Redzone helps manufacturers improve productivity and employee experience through connected worker technology. With over 1,000 customers and 500,000 users, the company focuses on empowering frontline teams with real-time decision-making and coaching.
Set technical direction for backend development, designing scalable web application systems alongside AI coding agents, while mentoring and elevating team programming maturity.
Contribute to new product development of complex in-browser applications, balancing customer-facing features with technical debt cleanup for sustainability.
Architect and implement applications applying ML techniques to large data volumes, designing systems for good performance and reliability with structured human oversight.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering value and efficiency to health plan clients. Deployed by over 85 health plans representing more than 270 million lives, the company fosters a culture of curiosity and engineering excellence.