The role:
At SoFi our mission is to help people achieve financial independence and realize their ambitions. Within FROST (Fraud Risk Operations & Support Technology) we are seeking a Senior Software Engineer to join the Machine Learning Platform team. This teams charter is to build an enterprise-grade ML platform that not only powers SoFis fraud detection and risk mitigation use cases but also provides scalable self-serve capabilities that can be leveraged by teams across the company.
The landscape of artificial intelligence and machine learning is evolving rapidly and SoFi is at the forefront of applying these technologies to protect our members and enable smarter financial services. Our ML Platform team plays a critical role in accelerating model development deployment and monitoring empowering data scientists and engineers to innovate with speed while ensuring compliance scalability and reliability.
As a Senior Software Engineer on the ML Platform team you will help design and build the foundation for SoFis ML ecosystem. You will develop services frameworks and tooling that support the entire ML lifecycle from feature generation to training pipelines batch and online inference CI/CD integration and monitoring. While the team focused on Fraud use cases your work will have company-wide impact enabling ML-driven capabilities across diverse product areas.
If you are passionate about building high-scale platforms thrive on technical challenges and want to work at the intersection of ML fraud prevention and financial technology we encourage you to apply.
What youll do:
- Design build and maintain scalable reliable and secure services that form the backbone of SoFis ML Platform.
- Develop frameworks and tooling for feature generation model training pipelines batch and online inference and real-time monitoring.
- Collaborate with Data Science Risk and Product teams to understand requirements and translate them into robust technical solutions.
- Participate in shaping the long-term technical architecture and platform vision for ML at SoFi.
- Drive operational excellence by ensuring services are observable resilient and cost-efficient.
- Contribute to and enforce engineering best practices including CI/CD testing and code quality.
- Mentor and support junior engineers helping foster a culture of growth innovation and accountability.
- Proactively generate ideas for new capabilities and improvements to empower SoFis ML practitioners.
What youll need:
- Bachelors Degree ideally in a technical field but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience.
- 4 years programming experience ideally on a modern tech stack.
- Experience building and maintaining distributed systems or microservices at scale.
- Strong understanding of data infrastructure and working with relational databases (e.g. PostgreSQL) and/or big data systems.
- Hands-on experience with cloud platforms (AWS preferred) and containerization (Docker Kubernetes).
- Familiarity with ML workflows including model training batch/online inference or feature pipelines.
- Strong sense of ownership; ability to take a project from inception to production.
- Experience collaborating in agile teams with Git code reviews and CI/CD pipelines.
- Commitment to operational excellence with experience in observability and monitoring (e.g. DataDog).
Nice to have:
- Experience with ML frameworks and/or feature platforms (SageMaker Flink Spark TensorFlow PyTorch etc.).
- Strong proficiency in Java and/or Kotlin.
- Experience scaling highly available mission-critical systems.
- Familiarity with fraud detection risk management or financial services domains.
- Experience mentoring engineers and contributing to technical culture.
- Interest in personal finance and helping people achieve financial independence.
Required Experience:
Senior IC