Staff Machine Learning Scientist - Fraud Intelligence

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 domain problems within the payments space. This role will straddle both engineering and science concerns requiring a strong understanding of ML development methodology and theory, and modern MLOps practices and techniques. Additionally, this role will help inform the technical trajectory of our ML ecosystem, support our AI strategy in alignment with our business objectives, and drive excellence in our ML development practices. 

This role will report 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.

We work Flexible First. This role can be performed remote within the United States or from our Oakland, CA headquarters. We’d love for you to join us!

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 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 together with Product and Technical Program Managers to align the technical vision for our ML ecosystem to the needs of our ML scientists

Who You Are

• 6+ years experience in a data science, machine learning engineering, or similar role within the financial services, banking, or payments space
• 6+ years expertise 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 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

Your Manager

• Marek Cyran

Recruiter For This Role

• Kayla Osuna

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

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

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development