Senior Software Engineer, Applied ML
Senior Software Engineer applying ML/AI techniques to fintech problems like fraud detection and user conversion. Requires 5+ years backend engineering (Java/JVM) and 2+ years deploying production ML models.
About the job
What You'll Work On
- Predictive models for user conversion that directly reduce acquisition costs
- Mining customer and transaction data to surface insights that shape product strategy
- Applying LLMs creatively to interpret customer behavior and make sense of unstructured data
- Real-time fraud detection, identity protection, and transaction decisioning
Responsibilities
- Owning end-to-end delivery of ML-powered initiatives from problem discovery through system design to production launch
- Building and evolving systems across the backend and ML stack, from microservices and data pipelines to feature engineering and model tooling
- Evolving org-wide engineering standards for architecture, testing, and monitoring practices and documentation
- Mentoring engineers through code and architecture reviews, raising the technical bar of the team
- Partnering with data science, product engineering, and infrastructure teams to shape the data and ML strategy and drive adoption of ML solutions across products
Required Qualifications
- 5+ years of software engineering experience, with backend experience using a JVM language, preferably Java
- 2+ years of building and deploying ML models in production
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
- Solid understanding of algorithms, data structures and object-oriented design
- Experience with cloud-hosted services, like AWS or GCP
- Experience with relational and NoSQL databases
- Experience working closely with data science and infrastructure teams
- Strong problem-solving and communication skills
Nice-to-Have Qualifications
- Experience with Scala or Python
- Hands-on experience applying LLMs or other AI tooling to production use cases
- Exposure to ML platforms such as SageMaker, Vertex AI, or Kubeflow
Skills
Java, Scala, Python, GCP, AWS, Kubernetes, MongoDB, BigQuery, Machine Learning, LLMs
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