Plaid

About Plaid

Empowering financial freedom through seamless APIs

🏒 Tech, Finance, Financial ServicesπŸ‘₯ 1001+ employeesπŸ“… Founded 2013πŸ“ SoMa, San Francisco, CAπŸ’° $1.3b⭐ 4.1
FintechB2BBankingInternal toolsSaaSAPI

Key Highlights

  • Headquartered in SoMa, San Francisco, CA
  • Over 12,000 financial institution integrations
  • Serves 25% of North Americans with bank accounts
  • $1.3 billion raised in Series D funding

Plaid is a leading fintech company headquartered in SoMa, San Francisco, CA, specializing in APIs that connect consumers with their financial institutions. With over 12,000 integrations across the US, Canada, the UK, and Europe, Plaid serves hundreds of applications like Venmo, Robinhood, and Coinba...

🎁 Benefits

Plaid offers comprehensive benefits including medical, dental, and life insurance, along with equity for full-time employees. Employees enjoy a monthl...

🌟 Culture

Plaid fosters a culture focused on empowering employees with ownership and flexibility. The company prioritizes innovation in fintech infrastructure, ...

Overview

Plaid is hiring a Senior Machine Learning Engineer to design and build scalable ML infrastructure for fraud detection. You'll work with Python, TensorFlow, and AWS to enhance model deployment and monitoring. This position requires significant experience in machine learning and infrastructure.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying ML models at scale. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to develop robust machine learning systems. Your understanding of AWS and cloud infrastructure allows you to create scalable solutions that meet the demands of a growing user base.

You possess excellent problem-solving skills and a keen analytical mindset, which help you identify and mitigate potential fraud risks effectively. Your ability to collaborate with cross-functional teams, including product and engineering, ensures that you can deliver impactful solutions that enhance user security. You are also passionate about mentoring junior engineers, sharing your knowledge, and contributing to the long-term technical vision of your team.

What you'll do

As a Senior Machine Learning Engineer on Plaid’s Fraud Data team, you will lead the design and implementation of scalable ML infrastructure that powers our fraud detection products. You will oversee the entire ML lifecycle, from developing feature pipelines to deploying and monitoring models in production. Your role will involve enhancing our model deployment and observability frameworks to ensure high reliability and performance at scale.

You will collaborate closely with teams across ML Infrastructure, Product, and Engineering to deliver robust systems that protect users and customers from fraud. Your responsibilities will include mentoring other engineers, shaping the technical strategy of the Fraud Data team, and ensuring that our systems scale efficiently as Plaid continues to grow.

What we offer

Plaid offers a dynamic work environment where you can make a significant impact on the financial technology landscape. We provide competitive compensation and benefits, including flexible work arrangements to support your work-life balance. Join us in empowering millions of users to manage their finances more effectively and securely.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Plaid.

✨

Similar Jobs You Might Like

Based on your interests and this role

Whatnot

Machine Learning Engineer

Whatnotβ€’πŸ“ San Francisco - Hybrid

Whatnot is hiring a Machine Learning Engineer to design, train, and deploy models for fraud detection. You'll work with Python, TensorFlow, and AWS to build scalable systems. This position requires experience in machine learning and data analysis.

🏒 Hybrid
2w ago
Whatnot

Machine Learning Engineer

Whatnotβ€’πŸ“ San Francisco - Hybrid

Whatnot is hiring a Machine Learning Engineer to design, train, and deploy models for fraud detection. You'll work with Python, TensorFlow, and AWS to build scalable systems. This position requires experience in machine learning and data analysis.

🏒 HybridMid-Level
2w ago
Plaid

Machine Learning Engineer

Plaidβ€’πŸ“ San Francisco - Remote

Plaid is hiring a Senior Machine Learning Engineer to design and deploy scalable ML solutions for the payments team. You'll work with techniques like natural language processing and anomaly detection. This position requires experience in applying state-of-the-art machine learning methods.

🏠 RemoteSenior
4w ago
Scribd

Machine Learning Engineer

Scribdβ€’πŸ“ San Francisco - Hybrid

Scribd is hiring a Senior Machine Learning Engineer to contribute to their mission of democratizing knowledge. You'll work on innovative projects that empower collective expertise. This position requires a strong background in machine learning and data science.

🏒 HybridSenior
6 months ago
Patreon

Machine Learning Engineer

Patreonβ€’πŸ“ San Francisco - Hybrid

Patreon is hiring a Senior Staff Machine Learning Engineer to support their Relevance team in building ML-driven systems for search and recommendations. You'll work with data analysis, model training, and deployment in a hybrid work environment based in San Francisco or New York.

🏒 HybridSenior
4 months ago