Join Plaid’s Credit team to design, build, and run scalable machine learning systems for lending and underwriting use cases.

Develop and productionize AI and machine learning models, covering offline training, online serving, and ongoing monitoring
Test modeling approaches for credit use cases, aligning model performance with lending-environment requirements
Collaborate with engineering teams to ingest signals and implement the systems needed for model production
Work on both 0-to-1 initiatives and the scaling and improvement of existing solutions
Partner cross-functionally to help define the machine learning roadmap
Conduct data deep-dives and use evidence-based analysis to guide day-to-day decisions

2+ years of experience training and serving AI or machine learning models in a production environment
Fintech lending experience and a strong understanding of how models are built and applied in lending
Experience building or working with data-intensive backend applications in large distributed systems
Ability to code and iterate independently using data infrastructure tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries
Proven 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

Salary range: USD 211,680 - 272,160 per year
Offers equity
Additional compensation in the form of equity and/or commission may be dependent on the position offered
Pay is based on factors such as scope and responsibilities, work experience, skillset, and location
Compensation and benefits are subject to change according to applicable plans

Part of Plaid’s Data organization, building models that help millions of people better understand and grow their financial lives
Applies machine learning to high-impact product challenges across product areas
Focuses on credit, meeting lending standards and supporting cash-flow-based underwriting
Emphasizes technical expertise, creativity, user empathy, and teamwork
Guided by principles of impact, growing together, openness and positivity, and inventing tomorrow

Machine Learning Engineer

Job Description