Senior Software Engineer, Applied MLCurrent is a leading consumer fintech platform transforming financial access for everyday Americans with over 6 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.Current's Engineering team is dedicated to building our products and infrastructure.
With our applications running on Google Cloud Kubernetes Engine, we support a proprietary banking core that can scale to handle millions of transactions a day. Our stack includes MongoDB and Spanner for persistence, Pub/Sub for asynchronous event processing, Dataflow for data transformation paired with BigQuery and Google Cloud Storage for data storage and analytics. Our backend services are written in Java and our data pipelines are built in Scala.We work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection and identity protection, and large-scale transaction processing across multiple payment rails.About the RoleWe're looking for a Senior Software Engineer to join our team and apply ML/AI techniques to solve business problems at scale.
You'll find creative ways to apply ML where it can move the needle, leverage existing tooling and frameworks, and ship production solutions that deliver measurable impact. The ideal candidate is a strong backend engineer with hands-on ML experience who thrives on turning business problems into production ML solutions. This role has a salary range of $200,000 - $250,000.What You'll Work OnOur work spans many areas, and here are a few examples of active problem spaces:Predictive models for user conversion that directly reduce acquisition costsMining customer and transaction data to surface insights that shape product strategyApplying LLMs creatively to interpret customer behavior and make sense of unstructured dataReal-time fraud detection, identity protection, and transaction decisioningResponsibilitiesOwning end-to-end delivery of ML-powered initiatives from problem discovery through system design to production launchBuilding and evolving systems across the backend and ML stack, from microservices and data pipelines to feature engineering and model toolingEvolving org-wide engineering standards for architecture, testing, and monitoring practices and documentationMentoring engineers through code and architecture reviews, raising the technical bar of the teamPartnering with data science, product engineering, and infrastructure teams to shape the data and ML strategy and drive adoption of ML solutions across productsRequired Qualifications5+ years of software engineering experience, with backend experience using a JVM language, preferably Java2+ years of building and deploying ML models in productionBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fieldSolid understanding of algorithms, data structures and object-oriented designExperience with cloud-hosted services, like AWS or GCPExperience with relational and NoSQL databasesExperience working closely with data science and infrastructure teamsStrong problem-solving and communication skillsNice-to-Have QualificationsExperience with Scala or PythonHands-on experience applying LLMs or other AI tooling to production use casesExposure to ML platforms such as SageMaker, Vertex AI, or KubeflowBenefitsCompetitive salaryMeaningful equity in the form of stock options401(k) planDiscretionary performance bonus programBiannual performance reviewsMedical, Dental and Vision premiums covered at 100% for you and your dependentsFlexible time off and paid holidaysGenerous parental leave policyCommuter benefitsFitness benefitsHealthcare and Dependent care FSA benefitEmployee Assistance Programs focused on mental healthHealthcare advocacy program for all employeesAccess to mental health appsTeam building activitiesOur modern NYC based office with open floor plan, stocked kitchen, and catered lunches