About the role

Aplyr's Quick Take

This role is about developing and implementing advanced machine learning models specifically for fraud detection. You'll be leading research efforts, running experiments, and collaborating with engineers to bring your findings into production. It's primarily an individual contributor role focused on technical expertise in ML.

Good fit

Ideal candidates will have a strong background in machine learning, particularly in fraud detection or related fields, and several years of experience in applied research. A hands-on, analytical working style and the ability to communicate complex ideas effectively are essential.

Worth noting

The position offers the flexibility of remote work and emphasizes the importance of publishing research findings, which could be a unique opportunity for those looking to enhance their professional visibility in the field.

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, Washington D.C., London and Amsterdam.

The Data team within Plaid’s Fraud organization builds the machine learning systems behind Plaid’s next-generation fraud detection products. Leveraging Plaid’s unique network data, the team develops end-to-end solutions to identify and prevent fraud before it happens. This includes ownership across the full ML lifecycle, from large-scale data processing and model experimentation to feature pipelines, model serving, and ongoing performance monitoring.

As a Senior Machine Learning Engineer (Research Scientist) you will lead applied research to develop next-generation fraud detection models across complex data modalities, including relational graphs, sequential events, images, and video. You will design and run rigorous experiments and build evaluation methodologies that reflect real-world fraud dynamics, prototype state-of-the-art architectures such as Graph Neural Networks and Transformer-based foundation models, and partner closely with Machine Learning Engineers to translate successful research into production systems. The role also involves communicating and publishing results internally and externally, helping raise the technical bar for fraud machine learning at Plaid.

***We are open to remote candidates for this role***

Skills & Tags

go machine learning ai data product design

Aplyr's read

Plaid is a key player in fintech, enabling secure financial data access for app developers. It attracts talent passionate about innovation and technology.
Synthesized from recent postings & public sources

What's promising

•Plaid's platform is integral to many fintech applications, offering significant impact on the financial ecosystem.
•The company is expanding its team across diverse roles, indicating growth and stability.
•Plaid's focus on secure data access supports the development of cutting-edge financial products.

What to watch

•The fintech industry is highly competitive, posing challenges for sustained differentiation.
•Regulatory changes in data privacy could impact Plaid's operations and services.
•Limited public information about Plaid's long-term financial health and profitability.

Why Plaid

•Plaid specializes in connecting apps to bank accounts, a niche yet crucial fintech service.
•It empowers developers with tools to innovate in financial services, setting it apart from traditional banks.
•Plaid's commitment to secure data access is a cornerstone of its business model.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Plaid

Plaid

plaid.com

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Plaid is a financial technology company that provides a platform for connecting applications to users' bank accounts. By enabling secure access to financial data, Plaid empowers developers to create innovative financial products and services, significantly impacting the fintech landscape.