DailyPay transforms employers into industry leaders by revolutionizing the way employees access their pay.
About the role
We are seeking a Senior Software Engineer to build DailyPay's ML platform from the ground up. You will design and build the infrastructure that every machine learning model at DailyPay runs on: feature engineering platform, model training and deployment, serving infrastructure, and the monitoring that keeps it all reliable in production.
What they're looking for
- 5+ years of professional software engineering experience building and operating production services
- Strong background in distributed systems, service-oriented architecture, and API design
- Experience across the full software lifecycle: design, testing, deployment, and on-call operations
- Proficiency in Python, with a track record of writing production-quality, tested, maintainable code
- Experience with infrastructure-as-code (Terraform or CloudFormation), including module design and environment separation
- Solid CI/CD experience: GitHub Actions or equivalent, designing and operating deployment pipelines
More about this role
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center.
We are seeking a Senior Software Engineer to build DailyPay's ML platform from the ground up. You will design and build the infrastructure that every machine learning model at DailyPay runs on: feature engineering platform, model training and deployment, serving infrastructure, and the monitoring that keeps it all reliable in production.
This is a software engineering role. You will build the platform that data scientists use to ship models, not build the models themselves. You own the infrastructure that makes their work reproducible, testable, observable, and production-safe at scale.
You will work closely with data scientists, engineers, and product stakeholders to deliver...
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