Machine Learning Engineer

at  Snap Finance

Are you looking for a friendly, fast-paced workplace with an emphasis on helping customers and empowering team members? Snap Finance is a thriving leader in the financial services industry, and our team members are the foundation of our success. Snap knows that happy, empowered, and engaged team members are essential to innovation and business success- and our approach is working. Come join us!

JOB DESCRIPTION

We are seeking a motivated and enthusiastic machine learning engineer to join our machine learning team. The ideal candidate will have some industry or academic experience in working on classification and optimization problems in the context of a larger software system. This person will have the opportunity to apply their knowledge to exciting multimodal data challenges, contributing to model development and data analysis aimed at improving predictions, reducing risk, and empowering consumers in the growing alternative finance market.

QUALIFICATIONS:

• MS or PhD in a quantitative field such as Statistics, Econometrics, Mathematics, Physics, Computer Science, or related quantitative discipline.
• BS in the fields described above will be considered if skill set and experience are robust
• 0-3 years of experience in one or more of the following areas: machine learning, artificial intelligence, data mining, or related research.

SKILLS, EXPERIENCE & QUALIFICATIONS REQUIRED:

• Proficiency with Python, Java, or other general-purpose programming languages.
• Familiarity with deep learning and traditional classification methods (e.g., Deep Neural Networks, Decision Trees, Random Forest).
• Proficiency and working knowledge of at least one major deep learning framework (e.g. PyTorch, Tensorflow)
• Sequence modeling (e.g.RNNs, Natural Language Processing techniques, Attention-Based Autoregressive models)
• Understanding of basic statistical analysis (e.g., Hypothesis testing, experimental design).
• Exposure to cloud services such as AWS, especially EC2 and S3.
• Basic SQL skills and experience with big data tools and frameworks like Hadoop, Spark, or CockroachDB skills
• Familiarity with common computing environments (e.g., Linux, Shell Scripting).
• Willingness to learn and develop skills in automated workflows (e.g., Airflow, Jenkins) and distributed systems.

PERSONAL CHARACTERISTICS:

• Strong analytical and problem-solving skills with a desire to learn and grow in the field.
• Good communication skills with the ability to explain technical topics to a non-technical audience.
• Team-oriented with the ability to complete tasks independently under guidance.
• Organized, detail-oriented, and proactive in seeking out learning opportunities.
• Fluent in English, both in oral and written form.
• Must be able to work onsite in our Salt Lake City office and be legal to work in the United States.

• Assist in the development and deployment of scalable models and tools using machine learning and optimization techniques, with guidance from senior team members.
• Collaborate with the data engineering team to gather and integrate data, creating valuable features.
• Participate in assembling large, complex data sets that meet business requirements.
• Contribute to the analysis of customer behavior and optimization of credit risk models.