Software Engineer - Applied AI

Posted Yesterday
West Valley City, UT, USA
In-Office
Entry level
Fintech
The Role
Entry-level Software Engineer on the Applied AI team, building production applications and infrastructure supporting machine learning, analytics, credit decisioning, pricing, and risk systems. Responsibilities include writing tested and documented Python code, collaborating with ML and Analytics teams, learning production deployment practices, communicating technical decisions, and using AI-assisted coding tools.
Summary Generated by Built In

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 

Skills Required

  • Bachelor's degree 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
  • Willingness to learn software engineering practices, including testing, version control, and deployment
  • Exposure to machine learning concepts through coursework or personal projects

Snap Finance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snap Finance and has not been reviewed or approved by Snap Finance.

  • Healthcare Strength — Health coverage and protection programs include medical, dental, vision, and company‑paid life, AD&D, and short‑ and long‑term disability, with mental‑health support highlighted in some locations. Benefits materials also emphasize additional wellness resources and private insurance options in certain geographies.
  • Leave & Time Off Breadth — Time off is described as generous and flexible, with options like flexible PTO, paid holidays, and location‑specific extras such as an added birthday day and holiday purchase schemes. Enhanced paid parental, adoption, and shared parental leave for eligible employees further expands time‑off support.
  • Retirement Support — Retirement programs include a 401(k) with company match and a pension scheme with employer contributions in the UK. These offerings signal structured long‑term savings support across regions.

Snap Finance Insights

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The Company
HQ: Salt Lake City, UT
664 Employees
Year Founded: 2012

What We Do

Snap Finance is a rapidly growing digital-finance company that specializes in providing consumer financing and rent-to-own purchase options. This company is technology driven; the IT platform is the backbone for running our operations and is critical to driving cost efficiency. With over 10 years of experience in the financial industry, Snap provides merchandise financing to brick and mortar as well as e-commerce merchants. The Snap lease-purchase agreement is an innovative financial product which gives the 40% of consumers with poor credit an alternative to payday loans and other high-risk financial products to acquire needed or desired merchandise. Snap Finance secured the largest bank revolving credit facility ever for a private consumer lease-to-own company. The credit facility from BMO Harris Bank will enable Snap Finance to service more than $1 billion in lease-to-own finance agreements.

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