Senior Software Engineer, Brex

• 5+ years of professional experience in a software engineering role or equivalent experience
• Strong fundamental knowledge in at least one of the following: machine learning theory or systems, including experience with developing and deploying ML models
• Experience building and designing scalable decisioning systems
• Experience working with backend programming languages (Kotlin, Python)
• Experience with common machine learning libraries (e.g., scikit-learn, tensorflow, pytorch)
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills
• Must be willing to work in office 2 days per week on Wednesday and Thursday

Desirable

• We are seeking individuals passionate about building data-driven systems to manage risk at scale
• You will have significant exposure to every aspect of financial crime prevention, from building customer facing experiences to working closely with data scientists to seamlessly integrate models into production
• As Risk services interface with multiple systems across Brex, excellent interpersonal and written communication skills are essential
• You will be working on high-impact projects requiring high development standards, handling and upkeep integrity of sensitive data, and ensuring compliance while driving monetary outcomes
• You'll be responsible for ensuring that the data for our decisioning systems is always of the highest quality, utilizing best-in-class services (risk vendors and internal models) to provide actionable insights that drive risk management and customer experience improvements
• Develop low-latency decision systems for assessing risk during customer onboarding, payments, authentication, and in-app
• Build in-product levers that enhance our decisioning systems while striving to make risk management invisible
• Building systems and tools for comprehensive customer due diligence, including KYC, sanctions, adverse media, PEP, and AML monitoring