Machine Learning Engineer - Income Insights

The role

You will design, build, and deploy scalable machine learning solutions for Income Insights and cash-flow-based underwriting. You will work across the full model lifecycle from experimentation to production serving and monitoring.

What you will do

• Develop and productionize AI and machine learning models.
• Experiment with modeling approaches and strategies for credit use cases.
• Partner with engineering teams to ingest signals and build production systems.
• Contribute to 0-to-1 problems and scaling established solutions.
• Collaborate with teams across Plaid to help define the machine learning roadmap.
• Use evidence-based analysis to guide day-to-day decisions.

Required qualifications

• 2+ years of experience training and serving AI or machine learning models in a production environment.
• Experience in fintech lending and a strong understanding of how models are built and used in lending.
• Experience building or working with data-intensive backend applications in large, distributed systems.
• Ability to code and iterate independently using Python, Spark, Jupyter notebooks, and standard machine learning libraries.
• A track record of taking ownership and driving projects to business impact.
• Ability to work effectively with both technical and non-technical teams.
• Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.

Nice to have

• Experience in data analytics or data engineering.

Benefits

• Medical
• Dental
• Vision
• 401(k)

About the company

Plaid builds tools and experiences that thousands of developers use to create products. The company's network covers 12,000 financial institutions across the US, Canada, UK and Europe.