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Snap Finance US is seeking an entry-level Software Engineer to join the Applied AI team. You will build production applications and infrastructure for ML and analytics, supporting credit decisioning, pricing, and risk.
You will work with senior engineers, writing clean, tested code, and learn to deploy and maintain systems in production while connecting engineering work to real business impact.
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation. If you're looking to make an impact and grow with a team that values you, come join us!
Snap Finance is looking for an entry-level Software Engineer to join our Applied AI team. You'll build the production applications and infrastructure that our Machine Learning and Analytics teams rely on, the systems behind credit decisioning, pricing, and risk. This is a great fit for a recent Computer Science or Math graduate who wants to write real software, work alongside experienced ML and analytics engineers, and grow quickly in a company where engineering directly drives the business.
Build real applications from day one Design, build, and maintain applications and services used across Snap's lending business, working alongside senior engineers who'll help you grow.
Write clean, tested, well-documented code, and learn what it takes to take a project from an idea to something running reliably in production.
Help bring machine learning into production Work with our ML and Analytics teams to build the services and infrastructure that their models run on.
Learn how production ML systems are built and maintained at scale, without needing to build the models yourself.
Learn to connect engineering to business impact Sit in on conversations with stakeholders across Analytics and the business to understand what problems your work is solving.
Practice explaining technical decisions clearly to non-technical teammates.
Build with modern tools Use coding agents and other AI-assisted development tools to move faster from idea to shipped code.
Stay curious about new tools in software engineering and bring what you learn back to the team.
B.S. in Computer Science, Mathematics, or a related quantitative field (0-2 years of experience).
Solid programming fundamentals in Python; familiarity with SQL.
Experience using coding agents or other AI-assisted development tools.
Strong problem-solving skills and a willingness to learn software engineering practices (testing, version control, deployment) on the job.
Exposure to ML concepts (coursework or personal projects) is a plus.
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice
Our Mission and Success are creating opportunities.
As this Snap team continues to grow, we are selecting the most talented individuals to join and contribute - our continued success depends on it!