Senior Machine Learning Engineer - Data Foundation and AI at Plaid

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

5+ years of experience training, deploying, and scaling ML/AI models in production environments
Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact
Experience applying ML/AI in fintech or similarly regulated industries is a plus
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Responsibilities

Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers
Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available
Developing new AI applications that enable innovative product experiences across fintech
Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency
Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team
Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact

Skills

Key technologies and capabilities for this role

Machine LearningAIDistributed TrainingDistributed ServingML OperationsEmbeddingsRepresentation Learning

Questions & Answers

Common questions about this position

What experience level is required for this Senior Machine Learning Engineer role?

Candidates need 5+ years of experience training, deploying, and scaling ML/AI models in production environments.

What technical skills are essential for this position?

The role requires strong experience with distributed systems and ML operations, proficiency in Python and modern ML frameworks like PyTorch, and hands-on experience building or scaling ML/AI infrastructure or pipelines.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the team culture like for the Data Foundation & AI team?

The team is high-ownership and bottom-up driven, collaborating with some of the strongest MLEs at Plaid, while experimenting with cutting-edge ML and AI techniques balanced with practical productionization.

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$714.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.

Potential legal challenges, such as PNC's lawsuit over trademark issues.

Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.

Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.

Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.

Partnership with Dwolla enhances Plaid's presence in the secure payments sector.

Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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