Principal Engineer - Machine Learning Architecture

Summary

Join Marqeta as a Principal Engineer, Machine Learning Architecture and lead the technical vision and development of ML infrastructure. Collaborate with various teams to refine ML development, define target architecture, and drive technical design decisions. Work closely with engineering teams to adopt best practices and improve operations. Build effective relationships outside the Data+ML organization, mentor team members, and participate in building Marqeta's data and ML ecosystem. This role reports to the Sr. Director of Machine Learning and involves leading the design and development of Marqeta’s Machine Learning infrastructure. The position offers flexible work arrangements, allowing for remote work within the United States or from the Oakland, CA headquarters.

Requirements

• 10+ years experience in a Machine Learning engineering or architecture role with deep expertise in ML architecture, MLOps, feature stores, data pipelines, inference and monitoring infrastructure using AWS managed services
• 10+ years expertise building large scale, compliant ML architectures in the financial services or similarly regulated industry
• 10+ years experience using product-oriented, user experience-centered approaches to building ML platforms and services
• Excellent communication and interpersonal skills, with the ability to cultivate relationships across teams, influence decision making, and collaborate with stakeholders at all levels of the organization
• Proven ability to develop structure, advance execution, and measure performance within various and complex projects, teams, and environment
• Excellent verbal and written communication skills including the ability to create technical design and product requirements documentation
• Proactive and strategic mindset, with the ability to anticipate business needs of customers and stakeholders
• A strong bias toward action and ability to operate proactively and effectively in a dynamic, fast-paced environment
• High ethical standards and a commitment to promoting a strong culture

Responsibilities

• Build a technical vision for our ML infrastructure optimized to support our customers and internal Machine Learning Scientists in alignment with our business and AI strategy
• Create infrastructure to support end-to-end ML development and delivery including prototyping, data and feature pipeline development, model training, deployment, and monitoring on AWS
• Collaborate with Machine Learning Science, Product, and Engineering teams to define technical designs, integrations with our core products, and deliver highly available ML capabilities to our end-users
• Maintain a high bar for operational excellence, drive best practices, and operate ML capabilities within established SLAs
• Collaborate with key Product, Engineering and Security stakeholders to drive governance, security and management best practices including standards, processes and tools to improve our operating posture
• Provide career mentorship and guidance to members of the Data+ML organization on topics including engineering skills, best practices, and business communication

Preferred Qualifications

BS degree preferred

Benefits

• Flexible time off – take what you need
• Retirement savings program with company contribution
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Health insurance premiums paid 100% + coverage for dependents and pets
• Family-forming benefits including fertility support and up to 20 weeks of Parental Leave
• Free therapy sessions, financial coaching, and legal advice
• Monthly stipend to support our hybrid work model
• Multiple health insurance options
• Retirement savings program with company contribution and after tax contributions
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development