Staff Machine Learning Engineer (ML Portfolio)
Affirm- Full Time
- Expert & Leadership (9+ years)
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.
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:
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.
Card issuing and payment processing solutions
Marqeta provides modern card issuing and payment processing solutions in the fintech sector. Its platform allows businesses to create, issue, and manage payment cards tailored to their specific needs, such as expense management and consumer payments. The service operates through an open API, enabling clients to integrate Marqeta's capabilities into their own applications. This flexibility sets Marqeta apart from competitors, as it caters to a diverse range of clients, including financial institutions and tech companies. The company generates revenue primarily through transaction fees each time a card is used, along with potential setup and service fees. Marqeta's ability to quickly adapt to the growing demand for digital payments, especially during the COVID-19 pandemic, has contributed to its significant presence in the market.