Snap Finance · 9 hours ago
Software Engineer, Machine Learning
Utah, United States
Full-time
Onsite
Senior Level
7+ years expSnap Finance is a company that believes everyone deserves access to necessary resources, regardless of credit history. They are seeking a Software Engineer, Machine Learning to build and scale advanced ML systems, focusing on developing production-grade machine learning models that enhance prediction accuracy and reduce risk in the alternative finance market.
Business DevelopmentFinanceFinancial ServicesFinTech
Responsibilities
Develop and innovate on state-of-the-art, scalable ML models leveraging artificial intelligence, machine learning, optimization, and rules-based approaches
Design and ship end-to-end ML systems, including data pipelines, feature engineering, training and evaluation workflows, online inference, and feedback loops
Push the boundaries of credit risk modeling, customer behavior analysis, and creditworthiness assessment
Partner cross-functionally to onboard new data sources, improve data quality, and create durable, high-signal features
Propose, gather, and integrate diverse datasets to support advanced modeling initiatives
Assemble and manage large, complex datasets that meet both functional and non-functional business requirements
Mentor engineers and raise the technical bar through architectural reviews, documentation, and reusable tooling
Influence technical direction through high-level decisions around system architecture, modeling strategy, and tooling
Qualification
Required
MS or PhD in a quantitative field such as Statistics, Econometrics, Mathematics, Physics, Computer Science, or related quantitative field
BS in the fields described below will be considered if skill set and experience are robust
Possess broad and deep technical expertise across multiple areas of machine learning
Strong software engineering skills, system design experience, and comfort owning services in production
History of tackling challenging technical problems and involvement in making high-level decisions about technology choices and system architecture
7+ years experience in one or more of the following areas: machine learning, artificial intelligence, recommendation systems, data mining, or related research
Strong background in Python, Java, or other general-purpose programming languages
Experience with modern sequence based deep learning (e.g., transformers, RNNs, and other attention-based autoregressive models) and multimodal learning (structured + text + graph/time-series)
Extensive experience with traditional classification methods (e.g. Gradient Boosting, Decision Trees, Random Forest)
Proficiency and working knowledge of at least one major deep learning framework (e.g. PyTorch, JAX)
Experience with filesystems, server architectures, and distributed systems
Statistical analysis (e.g., Hypothesis testing, experimental design, hierarchical modeling, Bayesian and Frequentist methods)
Experience with automated workflows: Airflow, Jenkins, etc
Experience with AWS cloud services such as EC2 and S3
Working knowledge of message queuing, stream processing, and highly scalable data store
Familiarity with common computing environment (e.g. Linux, Shell Scripting)
Strong SQL skills
Proven ability to translate insights into business recommendations
Benefits
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
Company
Snap Finance
Snap Finance is a fintech company that specializes in providing consumer financing and lease-to-own purchase options.
1001-5000 employees
H1B Sponsorship
Snap Finance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (25)
2023 (5)
2022 (21)
2021 (14)
Funding
Current Stage
Late StageTotal Funding
$55.09M2022-10-03Private Equity· $21M
2019-01-01Private Equity
2015-06-19Series Unknown· $28M
Leadership Team
Suraj Menon
Senior Director - Product Management
Recent News
Business Wire
2025-12-09
Furniture News
2025-11-14
2025-11-14
Company data provided by crunchbase