Staff Machine Learning Scientist

Position Overview

As a Staff Machine Learning Scientist within our Data+ML organization, you will lead the development of customer-facing, production-deployed Machine Learning capabilities to address domain problems within the payments space. This role requires a strong understanding of ML development methodology and theory, as well as modern MLOps practices and techniques. You will also inform the technical trajectory of our ML ecosystem, support our AI strategy in alignment with business objectives, and drive excellence in our ML development practices.

This role reports directly to the Sr. Director of Machine Learning and will play a key role in defining and delivering foundational ML capabilities to support Marqeta’s business and AI strategy.

Location & Employment Type

• Location Type: Flexible First (Remote within the United States or from Oakland, CA headquarters)
• Employment Type: Full-time

The Impact You'll Have

• Develop ML models and supporting technical capabilities across the end-to-end ML development lifecycle, from ideation and prototyping through production deployment and monitoring.
• Build ML capabilities that address critical internal and external customer-facing challenges in the payments space, including risk, fraud, disputes processing, and named entity recognition.
• Collaborate with key Go-To-Market (GTM), Product, and Engineering stakeholders to identify model development opportunities, guide decision-making by leveraging payments expertise, and create prototypes to assess feasibility and expected business value.
• Partner with legal, regulatory, and risk stakeholders to ensure compliance of ML development efforts with all applicable legal and regulatory requirements.
• Work with Product and Technical Program Managers to align the technical vision for our ML ecosystem with the needs of our ML scientists.

Who You Are

• 6+ years of experience in a data science, machine learning engineering, or similar role within the financial services, banking, or payments space.
• 6+ years of expertise in building and operating large-scale, customer-facing, production ML capabilities.
• Strong understanding of ML techniques, including supervised, unsupervised, and reinforcement learning.
• Strong understanding of MLOps and the ML development lifecycle, particularly using AWS SageMaker and related services.
• Excellent communication and interpersonal skills, with the ability to cultivate relationships across teams, influence decision-making, and collaborate with stakeholders at all levels of the organization.
• A strong bias toward action and the ability to operate proactively and effectively in a dynamic, fast-paced environment.
• High ethical standards and a commitment to promoting a strong culture.
• BS degree preferred.

Compensation and Benefits

Marqeta is a Flex First company, allowing you to choose your best working environment, whether at home or at a company office. Compensation is calibrated to competitive market value according to working location within the United States, with three tiers:

• National: A baseline tier for most of the US.
• Premium: Slightly elevated for higher cost-of-living areas (e.g., Los Angeles, CA; Seattle, WA).
• Premium Plus: For the most expensive working areas (e.g., San Francisco Bay Area; New York City).

Please consult with a Recruiter to determine your applicable tier.

Factors considered for salary determination include, but are not limited to, skills, prior experience, and work location.

• National Base Salary Range: $176,800 - $221,000
• Premium Base Salary Range: $191,400 - $239,200
• Premium Plus Base Salary Range: $208,000 - $260,000

Application Instructions

• To determine your applicable compensation tier, please visit the provided page or consult with a Recruiter.

Company Information

• Your Manager: Marek Cyran
• Recruiter For This Role: Kayla Osuna