Principal Engineer - Machine Learning Architecture

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

Candidates must possess at least 10 years of experience in Machine Learning engineering or architecture, with deep expertise in ML architecture, MLOps, feature stores, data pipelines, inference, and monitoring infrastructure on AWS. Experience building large-scale, compliant ML architectures in the financial services or a similarly regulated industry is required, along with extensive experience using product-oriented, user experience-centered approaches for building ML platforms and services. Excellent communication, interpersonal, and stakeholder management skills are essential, as is a proven ability to develop structure, advance execution, and measure performance in complex projects. A proactive, strategic mindset, a bias toward action, high ethical standards, and a Bachelor's degree are preferred.

Responsibilities

The Principal Engineer, Machine Learning Architecture will lead the technical vision and development of ML infrastructure for end-to-end ML model development and delivery. Responsibilities include collaborating with ML Science, Product, and Engineering teams to refine ML development journeys, define target state ML architecture, and drive technical design decisions. The role involves collaborating with engineering teams to drive adoption of best practices, improve operational posture, provide career mentorship to Data+ML team members, and participate in the design and build-out of Marqeta's data and ML ecosystem. Key duties include building a technical vision for ML infrastructure aligned with business strategy, creating infrastructure for prototyping, data/feature pipelines, model training, deployment, and monitoring on AWS, and ensuring operational excellence and adherence to SLAs.

Skills

Machine Learning Infrastructure

MLOps

AWS

Data Pipelines

Feature Engineering

Model Training

Model Deployment

Model Monitoring

Technical Vision

Architecture Design

Best Practices

Operational Excellence

SLAs

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