Senior Software Engineer - ML Infrastructure
Senior Software Engineer - ML Infrastructure
Posted on :
17-09-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
17-09-2025
Job Description
Plaid is evolving into an AI-first company where data and machine learning are the key enablers of smarter more secure insight products built on top of Plaids vast financial data network. The Machine Learning Infrastructure team sits at the center of this transformation. We build the platforms that enable model developers to experiment train deploy and monitor machine learning systems reliably and at scale from feature stores and pipelines to deployment frameworks and inference tooling.
We are in the midst of a pivotal shift: replacing legacy systems with a modern feature store and establishing a standardized ML Ops golden path. Our mission is to enable Plaids product teams to move faster with trustworthy insights deploy models with confidence and unlock the next generation of AI-powered financial experiences.
As a Senior Software Engineer on the Machine Learning Infrastructure team you will design build and operate the systems that power machine learning across Plaid. You will apply your deep technical expertise to create scalable reliable and secure ML platforms and collaborate closely with ML product teams to accelerate the delivery of ML & AI-powered products.
This is a highly technical hands-on role where youll contribute to core infrastructure influence architectural direction and mentor peers while helping to define the golden path for ML development and deployment at Plaid.
Responsibilities
- Design and implement large-scale ML infrastructure including feature stores pipelines deployment tooling and inference systems.
- Drive the rollout of Plaids next-generation feature store to improve reliability and velocity of model development.
- Help define and evangelize an ML Ops golden path for secure scalable model training deployment and monitoring.
- Ensure operational excellence of ML pipelines and services including reliability scalability performance and cost efficiency.
- Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration.
- Contribute to technical strategy and architecture discussions within the team.
- Mentor and support other engineers through code reviews design discussions and technical guidance.
Qualifications
- 5 years of industry experience as a software engineer with strong focus on ML/AI infrastructure or large-scale distributed systems.
- Hands-on expertise in building and operating ML platforms (e.g. feature stores data pipelines training/inference frameworks).
- Proven experience delivering reliable and scalable infrastructure in production.
- Solid understanding of ML Ops concepts and tooling as well as best practices for observability security and reliability.
- Strong communication skills and ability to collaborate across teams.
- Nice to have Experience with ML Ops tools such as MLFlow SageMaker or model registries.
- Nice to have Exposure to modern AI infrastructure environments (LLMs real-time inference agentic models).
- Nice to have Background in scaling ML infrastructure in fast-paced product environments.
$180000 - $270000 a year
The target base salary for this position ranges from $180000/year to $270000/year in Zone 1. The target base salary will vary based on the jobs location.
Our geographic zones are as follows:
Zone 1 - New York City and San Francisco Bay Area
Zone 2 - Los Angeles Seattle Washington D.C.
Zone 3 - Austin Boston Denver Houston Portland Sacramento San Diego
Zone 4 - Raleigh-Durham and all other US cities
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan including medical dental vision and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position candidates work experience and skillset and location. Pay and benefits are subject to change at any time consistent with the terms of any applicable compensation or benefit plans.
Required Experience:
Senior IC
Employment Type
Full-Time
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