This role pays more than
95%
of similar roles. Most pay
$200,887–$254,750
— the shaded band above.
At the midpoint, this role pays about
$309k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has
35 open roles
on FindRole.
Listed pay typically runs
$190,800–$262,800
across 35 roles with salary data.
Staff Machine Learning Engineer (Research Scientist) - DFAI joins the Data Foundation & AI team to build shared machine learning infrastructure and foundational models that transform financial network data into scalable representations for use across the product suite. This role involves leading technical strategy for foundation models, managing the full lifecycle from pretraining architecture and data curation to production serving, monitoring, and evaluation. The candidate will develop repeatable pipelines, establish rigorous performance frameworks, and mentor engineers while defining integration patterns for cross-team usage. Key requirements include deep expertise in Transformers, LLMs, and Foundation Models, along with proficiency in Python and distributed training. The role addresses the challenge of creating general-purpose machine learning infrastructure to power diverse downstream applications within a complex financial data domain, ensuring that research translates into production impact across various product teams.
Machine Learning
LLM Fine-tuning
Agentic Workflows
Python
Recommendation Systems
Deep Learning
Feature Engineering
ML Infrastructure
Model Deployment
Monitoring
Data Engineering
Optimization