# Senior Software Engineer, Applied ML

**Company:** [Current](https://hotfix.jobs/companies/current)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $200k – $250k/yr
**Experience:** 5+ years
**Skills:** Java, Scala, Python, GCP, AWS, Kubernetes, MongoDB, BigQuery, Machine Learning, LLMs
**Posted:** 2026-05-28

> 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.

## Job Description

## 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

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**Apply:** https://hotfix.jobs/jobs/af80c313-fc0a-40d5-ba60-433c42cd252d
**Canonical:** https://hotfix.jobs/jobs/af80c313-fc0a-40d5-ba60-433c42cd252d