Tech Stack
Responsibilities
- Build, improve, and maintain ML models for personalizing the user experience including on-demand pay balance optimization, content personalization, and fraud controls.
- Build reliable data pipelines and features for model development, following team infrastructure standards and advocating for solutions with engineering partners.
- Develop, evaluate, deploy, monitor, and improve both batch and real time models following established production standards.
- Stay current on AI/ML developments and apply sound judgment in algorithm selection and technique adoption by evaluating tradeoffs across modeling approaches.
- Write clean, well-documented, traceable, versioned, and reproducible code across all model development and pipeline work, following team standards for maintainability and auditability.
Benefits
- 401k
- Equity
- Health Insurance
- Unlimited PTO
Culture
Commit TogetherInclusive HiringChallenge NormsTransparent LeadershipWork-Life Balance
Requirements
Required: Bachelor's or advanced degree in a quantitative discipline (e.g., computer science, machine learning, statistics, data science)
Regions: Us
Get jobs like this in your inbox
Weekly AWS, Python, Redis hiring trends and salary data — free.
Join 6 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About dailypay
Industry: fintech
Size: medium
DailyPay is a worktech company and the industry’s leading on-demand pay solution, transforming how people get paid through an award-winning technology platform.
View company profile →Compensation
Equity: equity ownership