Machine Learning Engineer - Lendscore
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 will design, build, and deploy scalable machine learning solutions for cash-flow-based underwriting. You will take models from experimentation and training through production serving and monitoring, partner on signal ingestion and production systems, and use data to guide modeling and product decisions.
Requirements
- 2+ years of experience training and serving AI or machine learning models in production
- Experience in fintech lending
- Understanding of lending model development and use
- Experience with data-intensive backend applications in large distributed systems
- Python
- Spark
- Jupyter notebooks
- Standard machine learning libraries
- Ability to drive projects to business impact
- Ability to work with technical and non-technical teams
- Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field
- Experience in data analytics or data engineering
Responsibilities
- Develop and productionize AI and machine learning models from offline training through online serving and monitoring
- Experiment with modeling approaches for credit use cases
- Partner with engineering teams to ingest signals and build production systems
- Contribute to new and established machine learning solutions
- Collaborate to define the machine learning roadmap
- Analyze data and use evidence to guide day-to-day decisions
Benefits
- Equity
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)