Junior Applied AI Engineer: Build Production ML Systems

Snap Finance US; West Valley City (UT); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Generous PTO

Medical/Dental/Vision

401K with company match

Company-paid life insurance

Disability coverage

Mental health resources

Volunteer time off

Legal coverage

Job summary

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.

Qualifications

• Solid programming fundamentals in Python and familiarity with SQL.
• Experience using coding agents or AI-assisted development tools.
• Strong problem-solving skills and willingness to learn software engineering practices (testing, version control, deployment).
• Exposure to ML concepts through coursework or personal projects is a plus.

Responsibilities

• Build real applications from day one for production use.
• Write clean, tested, well-documented code, and ship it to production.
• Collaborate with ML/Analytics teams to bring models into production.
• Learn production ML systems at scale and how engineering drives business impact.
• Explain technical decisions clearly to non-technical teammates.
• Use modern tools and AI-assisted development to move from idea to shipped code.
• Stay curious and bring new tools to the team.

Skills

Python programming

SQL

Problem-solving

Learning mindset

Education

BS in CS/Math or related field

Tools

Coding agents / AI tools

Job description

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.