Senior Software Engineer, Backend (ML Platform) Join to apply for the Senior Software Engineer, Backend (ML Platform) role at Affirm Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or interest. The ML Platform team builds the core infrastructure that powers Affirm's machine learning models, which assess and approve BNPL transactions. The team manages both real-time feature computation and model scoring, as well as large-scale offline model training and data analysis. What You'll Do Own and deliver quarterly goals, lead engineers through ambiguity, and support team members throughout delivery. Collaborate with product management, design, and analytics teams to develop technical solutions, articulate constraints, and make informed decisions. Identify and lead solutions for project, process, technology, or business issues. Support operational stability by creating and monitoring metrics, and participating in on-call efforts. Promote a culture of quality and ownership by setting standards and sharing knowledge through writing and tech talks. Develop talent by providing feedback, guidance, and leading by example. What We Look For 4+ years of experience designing, developing, and deploying backend systems at scale using languages like Python or Kotlin. Experience with distributed systems using AWS, MySQL, and Kubernetes. Ability to define technical plans for significant features with elegant, simple designs. Proficiency in making large codebase changes safely and developing supporting tools and practices. Ownership mindset with proactive feedback seeking for personal growth. Strong communication skills for effective collaboration in a global team. Relevant practical experience or a Bachelor's degree in a related field. Additional Details Position is remote-first within the U.S., with some roles requiring occasional office presence. Compensation includes base salary, equity, benefits, and stipends. Affirm offers inclusive hiring practices and reasonable accommodations during the interview process. J-18808-Ljbffr