Want to use machine learning to help people make smarter financial decisions? WalletHub—the #1 Personal Finance App in the U.S.—is seeking a Senior Machine Learning Engineer to drive innovation across its data-driven products and services.
About WalletHub
WalletHub empowers millions of users with personalized credit insights, tools, and guidance. As a rapidly growing fintech platform, our goal is to simplify complex financial choices through the power of data science and intelligent automation.
Schedule
- Full-time, permanent
- 50 hours/week (Monday to Friday)
- Must overlap with EST business hours (required if working internationally)
What You’ll Do
- Build models and algorithms to deliver real-time financial insights
- Design experiments, test hypotheses, and deploy ML systems
- Conduct advanced analysis and apply predictive modeling
- Explore new ways to solve user problems through data
- Collaborate on architecture, design, and testing of intelligent features
What You Need
- 4+ years of experience with Python and relational databases (MySQL or similar)
- 2+ years in a Data Scientist or Machine Learning Engineer role
- Familiarity with ML techniques: Boosting, SVMs, Neural Networks, Decision Trees, Bayesian methods
- Experience with the full ETL lifecycle (extract, transform, validate, clean, aggregate)
- Degree in Computer Science, Math, Physics, or related field
- Excellent analytical and communication skills
- Fluent in English and committed to 50-hour work weeks
Preferred (Not Required)
- Experience with Apache Spark
- Background in Natural Language Processing (NLP): tokenization, sentiment analysis, tagging, entity recognition, summarization
Benefits
- Competitive salary based on experience and qualifications
- Raise and promotion opportunities based on performance evaluations
- Stock option eligibility after 1 year
- Visa sponsorship available after 18 months (based on performance and eligibility)
If you’re passionate about real-world ML applications and want to make a tangible impact on financial wellbeing, this role puts your skills where they matter most.
Happy Hunting,
~Two Chicks…