What are the responsibilities and job description for the Software Engineer, Data/ML Platform position at Current?
SOFTWARE ENGINEER, Data / ML Platform
Current is a leading U.S. fintech serving people who have been overlooked by traditional banks with nearly 4 million members. Headquartered in NYC, our results-driven environment enables us to build better products, grow faster and empower everyone on our team to have an impact on our business and our mission to improve financial outcomes for our members.
The Data / ML Infrastructure team at Current is dedicated to advancing our data capabilities and driving data intelligence across the platform. We're building state-of-the-art infrastructure to support large-scale data processing, in-house experimentation platform and end-to-end machine learning development. Our data infrastructure serves as a cornerstone, enabling everything from real-time credit decisioning and fraud prevention to personalized user experiences and targeted user acquisition. By providing robust and automated tooling, we empower data scientists, engineers, and product teams to work efficiently and drive impactful innovation.
We are seeking a Software Engineer with backend expertise. Previous experience or interest in machine learning is preferred but not required. We're looking for a motivated, independent problem-solver who thrives in a fast-paced, collaborative environment.
This role has a salary range of $150,000 - $200,000.
WHAT TO EXPECT :
- Design and build end-to-end infrastructure that supports data-driven components in new features, ensuring reliability and scalability
- Work hands-on across the full lifecycle of machine learning, including data extraction, feature engineering, model training, deployment and monitoring with an emphasis on automation
- Develop and improve tooling to streamline workflows for engineering, analytics, and product teams
- Actively research and integrate cutting-edge technology to drive the continuous evolution of our data platform
- Democratize data capabilities and share knowledge across teams to drive tooling adoption
- Contribute to organization-wide discussion, continuously improving architecture, tooling, testing, and monitoring practices
- Some of the technologies we use include :
- Java, Scala (mostly Scio)
- Google Cloud - Vertex AI, Apache Beam / Dataflow, Airflow / Cloud Composer, Pub / Sub, BigQuery, Google Cloud Storage, Cloud Spanner
- MongoDB, PostgreSQL, Elasticsearch
ABOUT YOU :
BENEFITS :
Salary : $150,000 - $200,000
