Senior Software Engineer, Current
Machine Learning
+ Equity + Discretionary performance bonus program
Online banking & financial services
Open for applications
Online banking & financial services
201-500 employees
Open for applications
+ Equity + Discretionary performance bonus program
201-500 employees
Company mission
To build the future of banking.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in engineering, with 2+ years in ML engineering
- Demonstrated success in contributing to production ML systems at scale
- Expertise in Java, Python, ML frameworks (SageMaker, Vertex AI, Kubeflow, etc.), cloud platforms (AWS, GCP, Azure), and modern MLOps practices
- Strong understanding of data privacy, security, and compliance in ML environments
What the job involves
- The Machine Learning (ML) Engineering function at Current is dedicated to delivering robust, scalable, and production-ready ML solutions that power our core banking products
- ML engineers manage the full lifecycle of ML model development, from design and training to deployment and maintenance, while ensuring seamless integration into production use cases
- They bring deep experience in distributed systems engineering, enabling the design of resilient, high-performance infrastructure
- They also build and maintain monitoring systems for production deployments, supporting real-time operations, governance, and continuous improvement to deliver measurable business value at scale
- With data-driven products at the heart of Current’s strategy, the need for reliable, responsive, and production-grade ML solutions has never been higher
- ML engineering ensures that the models shaping our liquidity offerings, member safety, and efficient operations are not just innovative but operationally robust and fully aligned with business objectives
- Integration with Core Engineering:
- ML Engineering is a pivotal part of the broader engineering organization. While sharing many standards, practices, and methodologies with traditional engineering teams, ML engineers bring specialized knowledge in machine learning frameworks, scalable infrastructure, data engineering, and model operations
- Collaboration with Data Experts:
- ML Engineering collaborates with Data Science in the designing, developing, and deploying scalable machine learning models and features into production. They bridge the gap between data science research and engineering by optimizing model performance, ensuring reliability, and integrating models into production systems. This role involves working closely with Data Scientists to understand model requirements, build efficient pipelines, monitor model health, and support continuous improvement of ML solutions in a production environment
- Partnering with Business Stakeholders:
- ML engineers act as technical ambassadors, clearly communicating complex concepts and collaborating across product, data, and business domains. Their business acumen ensures that technical solutions are always aligned to company goals and member needs
Our take
Current is a neobank offering digital banking services, with a focus on younger generations and paycheck-to-paycheck customers. It offers a swathe of innovative services including on-demand pay and overdraft protection to people underserved by traditional institutions.
Younger customers are expected in the coming years to pivot from legacy institutions to the higher functionality and lower costs of consumer-first neobanks like Current. By netting an average customer age of 27, Current is establishing itself as a pack leader among rival but less well-funded neobanks like Step or Till.
It is also successfully competing with legacy institutions by exploiting the relatively adaptive nature of neobanking. Current has previously offered customers advanced access to stimulus checks, and is seeking to expand into crypto. The company continues to raise funding which supports its continued growth and an accelerated path to profitability.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2021
$220m
SERIES D
Nov 2020
$131m
SERIES C
Total funding: $392.6m
Company benefits
- Company equity
- Flexible vacation policy
- Commuter benefits
- Discretionary bonus program
- Medical, Dental & Vision
Company HQ
Little Italy, New York, NY
Leadership
Stuart Sopp
(Founder & CEO)Worked as a Trader for BNY Mellon and Deutsche Bank for a combined 9 years before serving as Head of Trading at Citi and Morgan Stanley. Left this role after 5 years to found Current in June 2015, working as CEO ever since.
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