ML Engineer at Plaid: Salary, Interview & Career Guide (2026)
What It's Like to Be a ML Engineer at Plaid
As a Machine Learning Engineer at Plaid, you will be at the heart of the fintech revolution, building the intelligence that powers the financial web. You will have the opportunity to work on a wide range of machine learning problems, from fraud detection and risk modeling to transaction categorization and personal finance insights. Plaid's culture is known for its emphasis on ownership, impact, and collaboration. You will be surrounded by talented and driven individuals who are passionate about building a more accessible and inclusive financial system. You will have the opportunity to work with a modern tech stack and contribute to a product that is used by millions of people and thousands of developers.
About Plaid
Plaid is a financial services company that builds a data transfer network that powers the fintech and digital finance products that millions of people use. The company was founded in 2013 with the mission of democratizing financial services through technology. Plaid's platform is used by thousands of developers to build applications that connect with users' bank accounts. The company is headquartered in San Francisco, with offices in New York, Salt Lake City, and London. Plaid is a fast-growing company that is backed by some of the world's leading investors.
Salary & Compensation
For a Machine Learning Engineer position at Plaid in 2026, you can expect a competitive salary and a comprehensive benefits package. The estimated salary range for this role is $170K-$260K per year, which includes base salary and potential bonuses. This range can vary based on your experience, skills, and location. In addition to a competitive salary, Plaid offers a range of perks and benefits, including stock options, health insurance, and a flexible work environment.
Interview Process
The interview process for a Machine Learning Engineer at Plaid typically consists of 4-5 rounds and is designed to assess your technical skills, problem-solving abilities, and cultural fit. The process usually starts with an initial screening call with a recruiter, followed by a technical phone screen that may include coding challenges. If you pass the initial screens, you'll move on to a series of virtual or on-site interviews with members of the engineering team. These interviews will cover topics such as machine learning theory, system design, data structures and algorithms, and your past experience. You can also expect a behavioral interview to assess your communication and collaboration skills.
Day-to-Day Responsibilities
As a Machine Learning Engineer at Plaid, your day-to-day responsibilities will include:
- Designing, developing, and deploying machine learning models to improve Plaid's products.
- Working with large-scale financial datasets to extract insights and build predictive models.
- Collaborating with product managers, software engineers, and data scientists to build and improve Plaid's products.
- Staying up-to-date with the latest advancements in machine learning and fintech.
- Building and maintaining the infrastructure for training and deploying machine learning models.
Skills & Qualifications
To be successful as a Machine Learning Engineer at Plaid, you'll need a strong foundation in computer science, machine learning, and software engineering. Key skills and qualifications include:
- A degree in Computer Science, a related technical field, or equivalent practical experience.
- Proven experience in building and deploying machine learning models in a production environment.
- Proficiency in programming languages such as Python, and experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Career Growth
Plaid is a company that is committed to the growth and development of its employees. As a Machine Learning Engineer, you will have the opportunity to grow into a senior or lead role, or you can choose to specialize in a particular area of machine learning or fintech. The company provides a supportive environment for learning and growth, with opportunities for mentorship, training, and challenging projects.
How to Apply
To apply for a Machine Learning Engineer position at Plaid, you can visit the company's careers page at plaid.com/careers. You can also find open positions on LinkedIn and other job boards. When you apply, be sure to highlight your relevant experience and skills, and tailor your resume and cover letter to the specific role you're interested in.