Machine Learning Engineer
Plaid • New York, NY6d • $211,680 - $272,160
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Machine Learning Engineer - Lendscore
Plaid•New York, NY
•$211,680 - $272,160
About The Position
As a Machine Learning Engineer on Plaid’s Credit team, you’ll design, build, and deploy scalable machine learning solutions that support LendScore and the future of cash-flow-based underwriting. You’ll work across the full model lifecycle, from experimentation and offline training through production serving and monitoring, and partner with engineers and cross-functional teams to turn data and new modeling approaches into reliable systems. The team is part of Plaid’s Data organization and builds models to help people better understand and grow their financial lives. It applies machine learning to high-impact product challenges, with a focus on credit and models suited to lending standards. The team supports cash-flow-based underwriting and values technical expertise, creativity, user empathy, and teamwork. Plaid’s mission is to unlock financial freedom for everyone. The company aims to build a diverse team and is an equal opportunity employer. It provides reasonable accommodations for candidates with disabilities during recruitment.
Requirements
- At least 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 Haves
- Experience in data analytics or data engineering.
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.
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k).
- Additional compensation may include equity and/or commission, depending on the position offered.
- Reasonable accommodations for candidates with disabilities during the recruiting process.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Job Search Resources
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