Senior Software Engineer - ML Infrastructure

Plaid

Actively hiring Verified listing
New York City Office, US Posted 36 days ago $190,800$262,800 / year

At a glance

AI generated

TL;DR

As 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 scalable ML platforms. Your responsibilities include creating robust feature stores, pipelines, deployment frameworks, and inference systems to support model development at scale. You’ll drive the adoption of next-generation tools that enhance reliability and velocity for product teams, while also defining best practices for secure, efficient ML operations. This hands-on role requires expertise in large-scale distributed systems, experience with ML platforms like feature stores and data pipelines, and a solid understanding of observability, security, and reliability principles. You will collaborate closely with cross-functional teams to ensure operational excellence and mentor peers through technical guidance and code reviews.

Skills

MLFlow SageMaker Python Kubernetes Terraform CI/CD PostgreSQL Docker Prometheus Grafana AWS GitLab LLMs model registries

What you'll do

  • Design and implement large-scale ML infrastructure, including feature stores and deployment tooling.
  • Drive the rollout of Plaid’s next-generation feature store to enhance model development reliability.
  • Define and promote an ML Ops “golden path” for secure, scalable model training and monitoring.
  • Ensure operational excellence of ML pipelines, focusing on scalability, performance, and cost efficiency.
  • Collaborate with ML product teams to accelerate experimentation and iteration through tailored solutions.

What we're looking for

  • 5+ years of industry experience in software engineering with a focus on ML/AI infrastructure or large-scale distributed systems.
  • Hands-on expertise in building and operating ML platforms, including feature stores, data pipelines, training, and inference frameworks.
  • Proven track record of delivering reliable and scalable production infrastructure.
  • Solid understanding of ML Ops concepts, tooling, observability, security, and reliability best practices.
  • Strong communication skills for collaboration across diverse teams.
  • Experience with ML Ops tools like MLFlow, SageMaker, or model registries (preferred).
  • Background in scaling ML infrastructure in fast-paced product environments (preferred).

Market check

Salary context

This $190,800–$262,800 range sits above 80% of similar postings on FindRole.

Peer median band

$136,000$234,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,450$217,725

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 127 open roles on FindRole.

Listed pay typically runs $186,000–$262,800 across 127 roles with salary data.

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