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 should 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 using AWS managed services. They must have extensive experience building large-scale, compliant ML architectures within the financial services or a similarly regulated industry, and a proven track record of using product-oriented, user experience-centered approaches to build ML platforms and services. Excellent communication, interpersonal, and stakeholder management skills are essential, along with a proactive and strategic mindset and a strong bias toward action. A BS degree is preferred.

Responsibilities

The Principal Engineer will lead the technical vision and development of ML infrastructure to support end-to-end ML model development and delivery. This includes creating infrastructure for prototyping, data and feature pipelines, model training, deployment, and monitoring on AWS. Responsibilities also involve collaborating with ML Science, Product, and Engineering teams to define technical designs, integrate with core products, and deliver highly available ML capabilities. The role requires maintaining high operational excellence, driving best practices, operating ML capabilities within SLAs, and collaborating with stakeholders to implement governance, security, and management best practices. Additionally, the engineer will provide career mentorship and guidance to the Data+ML organization.

Skills

Machine Learning Infrastructure

ML Architecture

AWS

Data Pipelines

Feature Engineering

Model Training

Model Deployment

Model Monitoring

Technical Vision

MLOps

Python

Cloud Computing

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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