Plaid currently has 14 active AI-related job listings. The majority of these roles, 43%, are focused on agents, with serving infrastructure also representing a significant portion at 21%. Engineering is the most frequent function, with all 14 roles located in the United States. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deploying and managing AI models.
Currently tracking 10 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Plaid currently has 16 active AI-related roles in our index. The most common open titles are: AI Marketing Technologist Lead, Analytics Engineer, Engineering Manager - Security, Engineering Manager, AI Applications, Fraud Researcher. Most positions are in Engineering and Research.
Plaid's active AI hiring is concentrated in: agents (44%), application (19%), pre-training (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Plaid is hiring AI talent in: United States (16 roles).
Job postings at Plaid most frequently reference: model serving, fine tuning, llm observability, agent orchestration, inference infra.
In the past 30 days, Plaid has posted 7 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer (Research Scientist) - DFAI Research Scientist role focused on advancing Plaid's foundation models by developing novel architectures, pretraining objectives, and fine-tuning strategies. The role involves working across the full ML stack from data and feature engineering to training pipelines, model serving, and monitoring, with a strong emphasis on shipping research into production systems for financial applications. | PretrainServe | 9 |
| Senior Machine Learning Engineer (Research Scientist) - DFAI Lead applied research for Plaid's foundation model, focusing on architecture, pretraining, and fine-tuning for financial datasets. Build and maintain end-to-end ML systems, including training pipelines, model serving, and evaluation frameworks. Collaborate with product teams to adapt models and communicate research findings. |
| PretrainServe |
| 9 |
| Senior Machine Learning Engineer (Research Scientist) - Data Foundation & AI Plaid is seeking a Senior Research Scientist to lead applied research on their foundation model, focusing on designing architectures, pretraining objectives, and fine-tuning strategies. The role involves building and maintaining end-to-end production ML systems, including training pipelines, model serving, feature engineering, and monitoring, with a strong emphasis on shipping models to production and developing robust evaluation frameworks. | PretrainServe | 9 |
| Fraud Researcher Senior Fraud Researcher at Plaid, focusing on using financial network data, transaction patterns, and device signals to detect and prevent fraud. The role involves leading investigations, translating findings into detection improvements, and collaborating with Data Science, ML/AI, and Product teams to shape fraud capabilities. It emphasizes applied research, signal utilization, and ecosystem monitoring to stay ahead of adversaries, directly driving features, model inputs, and product design. | Ship | 7 |