Machine Learning Engineer - Data Foundation and AI

Plaid

🔍 Observed

$186K - $236K USD

San Francisco First seen 3 weeks, 1 day ago Last seen 7 hours, 44 minutes ago Lever

Apply on Lever Search Google for This Role

ATS links often expire — Google search finds the latest posting

Job Description

AI Summary

• Design and build advanced ML/AI systems that power Plaid's fintech products and applications used by millions of consumers, spanning training, serving, and inference infrastructure • Required experience: 1-3 years deploying ML models in production, strong distributed systems and MLOps knowledge, proficiency in Python and modern frameworks like PyTorch, and hands-on ML infrastructure building • Drive impact by improving distributed training and serving systems, scaling ML operations for reliability and efficiency, and developing new AI applications that enable innovative product experiences • Work on both exploratory 0-to-1 problems and scaling existing systems, with focus on balancing cutting-edge AI techniques against practical productionization and measurable business results • Join a high-ownership, bottom-up driven team of strong MLEs at a fintech company powering 12,000+ financial institutions across multiple countries with offices in San Francisco, New York, London, and Amsterdam

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

The Data Foundation & AI team builds advanced ML/AI models and applications that enable product teams to deliver intelligence at scale. We design infrastructure and abstractions that make AI development faster, more reliable, and more impactful. From embeddings and representation learning to applied AI systems, our work provides the building blocks for the next generation of financial services on Plaid.

You’ll be a machine learning engineer on the Data Foundation & AI team. In this role, you will design, build, and scale advanced ML/AI systems that power Plaid products and applications. Your work may span developing reliable distributed training and serving systems, improving ML operations at scale, and building AI-powered applications that enable new product experiences.

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. Qualifications: 1-3 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.

Quick Actions

Apply Externally Search Google Back to Jobs

Job Information

Company:
Plaid
Location:
San Francisco
Job Type:
Full-Time
Experience Level:
Entry
Source:
Lever
Status:
Active

Activity Score

65 /100

Likely Active (65)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →