Job description

Company Overview: 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! Job Description 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. How you’ll make an impact: 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. What you’ll need to succeed: 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. Why Join Us: Generous paid time off Competitive medical, dental & vision coverage 401K with company match for US Company-paid life insurance Company-paid short-term and long-term disability Access to mental health and wellness resources Company-paid volunteer time to do good in your community Legal coverage and other supplemental options A value-based culture where growth opportunities are endless More: 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 snapfinance.com

Requirements

Must-haves

If you re looking to make an impact and grow with a team that values you, come join us!
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.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

Nice-to-haves

Exposure to ML concepts (coursework or personal projects) is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonsql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Wellness