Staff Machine Learning Engineer - Infrastructure

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Candidates should possess at least 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 should also have 6+ years of experience 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 essential, along with a proven ability to develop structure, advance execution, and measure performance. 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, drive technical design decisions, and deliver ML capabilities. Responsibilities include creating infrastructure for prototyping, data/feature pipelines, model training, deployment, and monitoring on AWS, maintaining operational excellence, driving best practices, and operating ML capabilities within SLAs. The role also involves collaborating with stakeholders to drive governance, security, and management best practices, and providing career mentorship to team members.

Skills

Machine Learning

ML Infrastructure

AWS

Data Pipelines

Feature Engineering

Model Training

Model Deployment

Model Monitoring

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