Marqeta

Staff Machine Learning Engineer - Infrastructure

United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Data, AI & Machine LearningIndustries

Requirements

Candidates should have 6+ years of experience in a Machine Learning engineering role with deep expertise in ML architecture, MLOps, feature stores, data pipelines, inference, and monitoring infrastructure using AWS managed services. They must also have 6+ years of expertise building large-scale, compliant ML architectures in the financial services or a similarly regulated industry, and 6+ years of experience using product-oriented, user experience-centered approaches to building ML platforms and services. Excellent communication and interpersonal skills are required, along with the ability to develop structure, advance execution, and measure performance within complex projects. A proactive and strategic mindset, a strong bias toward action, high ethical standards, and a BS degree are preferred.

Responsibilities

The Staff Machine Learning Engineer will support the technical vision and development of ML infrastructure to enable end-to-end ML model development and delivery. They will collaborate with Machine Learning Science, Product, and Engineering teams to refine ML development journeys, improve ML architecture, and drive technical design decisions. Responsibilities include creating infrastructure for prototyping, data and feature pipeline development, model training, deployment, and monitoring on AWS. The role involves maintaining operational excellence, driving best practices, and operating ML capabilities within SLAs. Additionally, the engineer will collaborate with stakeholders to drive governance, security, and management best practices, and provide career mentorship and guidance to team members.

Skills

Machine Learning Infrastructure
MLOps
AWS
Data Pipelines
Feature Engineering
Model Training
Model Deployment
Model Monitoring
Technical Vision
Technical Design
Best Practices
Operational Excellence

Marqeta

Card issuing and payment processing solutions

About Marqeta

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.

Oakland, CaliforniaHeadquarters
2010Year Founded
$526.5MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
501-1,000Employees

Benefits

Medical, dental, & vision coverage
Flexible time off
Paid family leave
Pet insurance
401k match
Equity
Monthly stipends
Company recognition & awards
Employee Stock Purchase Program

Risks

Class action lawsuit may harm Marqeta's reputation and investor confidence.
Increased regulatory scrutiny could raise compliance costs for Marqeta.
EWA platforms might disrupt Marqeta's traditional card issuing model.

Differentiation

Marqeta's open API platform allows for highly customizable payment solutions.
The company operates in 40 countries, offering a global card issuing platform.
Marqeta's cloud-based infrastructure enables instant access to scalable payment systems.

Upsides

Partnership with Slope taps into the growing Buy Now, Pay Later market.
Demand for flexible working capital solutions boosts Marqeta's embedded finance offerings.
Smarter AI models enhance Marqeta's payment processing capabilities.

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