> Markdown version of [/jobs/ext/2873835-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2873835-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** Plaid's Network
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Infrastructure, Data Systems, Software Debugging, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Software Deployment, Pytorch, Apache Spark, Machine Learning Operations
- **Published:** September 13, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-engineer-infra-ops-fraud-plaid-com-10041398

## About the Role

* 6+ years of relevant experience, with a strong focus on building, deploying, and scaling production machine learning systems.
 * Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability.
 * Proven ability to independently own and deliver complex, end-to-end machine learning engineering projects.
 * Proficiency with Python and experience with ML and data technologies such as PyTorch, Spark, SageMaker, and Airflow.

Nice-to-Have:

 * Experience in fraud or risk domains.

 * Experience in Graph machine learning.

## Description

As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You'll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You'll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions.

Responsibilities:

 * Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment.
 * Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability.
 * Develop foundational ML capabilities that leverage Plaid's extensive financial network data to detect and prevent fraud.
 * Collaborate closely with engineers, data scientists, and cross-functional partners across Plaid to deliver high-impact solutions.


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)