Description
We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.
As a Machine Learning Engineer on the Credit team, you'll design, build, and deploy scalable machine learning solutions that support LendScore and the future of cash-flow-based underwriting.
Responsibilities:
- Develop and productionize AI and machine learning models, from offline training through online serving and ongoing monitoring.
- Experiment with modeling approaches and strategies for credit use cases, balancing model performance with the requirements of lending environments.
- Partner with engineering teams to ingest signals and build the systems needed to bring models into production.
- Contribute to both 0-to-1 problems and the scaling and improvement of established solutions.
- Collaborate with teams across Plaid to help define the machine learning roadmap.
- Dive into data and use evidence-based analysis to guide day-to-day decisions.
Requirements:
- 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 data infrastructure tools such as 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:
- Comprehensive benefit plan, including medical, dental, vision, and 401(k).
- Additional compensation in the form(s) of equity and/or commission.