Manager, Machine Learning Engineer - Credit
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You'll lead a team of Machine Learning Engineers and Data Scientists working on credit insights products. You'll set technical and product direction and the ML roadmap for LendScore and Income Insights, partner with Engineering, Product and Data teams, and guide model development from experimentation to online serving and monitoring.
Requirements
- 8+ years of experience training and serving AI or machine learning models in production
- Experience leading a team of Data Scientists and Machine Learning Engineers
- Experience in fintech lending and understanding of lending models
- Experience with data-intensive backend applications in large distributed systems
- Ability to code independently using Python, Spark, Jupyter notebooks and standard ML libraries
- Track record of ownership and driving business impact
- Ability to work with technical and non-technical teams
- Master's degree or equivalent experience in Computer Science, Mathematics, Engineering or related field
Responsibilities
- Lead, support and develop a team of Machine Learning Engineers and Data Scientists
- Set technical and product direction for LendScore and Income Insights, including the ML roadmap
- Partner with Engineering, Product and Data teams to prioritize opportunities and deliver scalable solutions
- Guide machine learning model development across the full lifecycle
- Tackle 0-to-1 opportunities and scale established products
- Foster a high-ownership, data-driven team culture
Benefits
- Medical
- Dental
- Vision
- 401(k)
- Equity