PLAID · 1 day ago
Senior Machine Learning Engineer - Fraud (Research Scientist)
Plaid is a company dedicated to empowering financial interactions through innovative tools and experiences. As a Senior Machine Learning Engineer on the Fraud Data team, you will design and build scalable ML infrastructure for fraud detection, lead the evolution of model deployment and monitoring frameworks, and mentor other engineers.
AdvertisingBrand MarketingConsulting
Responsibilities
Lead applied research to develop next-generation fraud models over relational graphs, sequential events, images, and videos data
Design and run rigorous experiments and develop evaluation methodologies that reflect real-world fraud dynamics
Prototype state-of-the-art model architectures (Graph Neural Networks, Transformer-based foundation models) and translate successful prototypes into production with fellow MLEs
Publish and communicate results internally and externally raising the technical bar for fraud ML at Plaid
Qualification
Required
PhD strongly preferred; we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes
Preferred
Fraud / security / abuse domain experience
Experience with large-scale training, graph systems, and sequential modeling
Company
PLAID
Plaid is a consultancy offering brand marketing, creative strategy, web design, content creation, and advertising services.
H1B Sponsorship
PLAID has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (41)
2024 (41)
2023 (42)
2022 (53)
2021 (30)
2020 (11)
Funding
Current Stage
Early StageCompany data provided by crunchbase