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Salary
≈ $89k – $177k per year (Estimated)
Location
In office (West Valley City)
Visa
H-1B filings in 12 months: 16 · for this role: 5 · green card filings: 6
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
Snap Finance offers lease-to-own and instalment financing for shoppers with limited credit. Its underwriting uses banking and behavioural data rather than credit scores alone. Retailers in furniture, tyres and electronics offer it at checkout.
Backed by Summit Partners

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 https://snapfinance.com/ccpa-notice

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