Senior Software Engineer - ML Infrastructure
Plaid
At a glance
AI generatedAs a Senior Software Engineer on Plaid’s Machine Learning Infrastructure team, you will play a pivotal role in transforming the company into an AI-first organization by designing and building large-scale ML infrastructure. Your responsibilities include creating scalable feature stores, pipelines, deployment frameworks, and inference systems to enable reliable model development and deployment. You’ll drive the rollout of a next-generation feature store, define best practices for ML Ops, ensure operational excellence, and collaborate with product teams to accelerate AI-powered financial solutions. This hands-on role requires expertise in ML infrastructure, distributed systems, and production-level reliability, along with experience in tools like MLFlow or SageMaker. You will contribute to technical strategy discussions, mentor peers, and help establish a standardized “golden path” for ML development at Plaid.
Skills
What you'll do
What we're looking for
Market check
This $190,800–$262,800 range sits above 80% of similar postings on FindRole.
Peer median band
$136,000–$232,250
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,450–$215,681
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 127 open roles on FindRole.
Listed pay typically runs $186,000–$262,800 across 127 roles with salary data.
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