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Machine Learning Engineer - Lendscore

Plaid

Machine Learning Engineer - Lendscore is a still-open role at Plaid on Jobrow. Location: Hybrid · New York City Office · New York · United States. Listed pay: $212k–$272k. Sourced from the company's public Ashby board. First seen 2 hours ago; last confirmed 2 hours ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$212k–$272k
Workplace
Hybrid
Location
New York City Office · New York · United States
First seen
2 hours ago
Last seen
2 hours ago
Board
Ashby
Apply

About this role

We believe that the way people interact with their finances will drastically improve in the next few years.

  • Function: Machine learning
  • Seniority: mid

Location & pay

Hybrid · New York City Office · New York · United States Listed pay on Jobrow: $212k–$272k.

Source

Jobrow reads the public Ashby board for Plaid. First seen 2 hours ago; last seen 2 hours ago. We are not the employer — apply only on the company ATS.

Posting

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. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. ABOUT THE TEAM We’re part of Plaid’s Data organization, building models that help millions of people better understand and grow their financial lives. We apply machine learning to high-impact product challenges, working across product areas to develop solutions that create meaningful customer value. We focus on credit, building models to the standards required in lending and supporting the next wave of cash-flow-based underwriting. We value technical expertise, creativity, user empathy, and teamwork, and we’re guided by Plaid’s principles of impact, growing together, openness and positivity, and inventing tomorrow. ABOUT THE ROLE 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. 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. In this role, you will: - 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 in

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