Marqeta is looking to solve the problem of enabling the end-to-end development and delivery of ML models by supporting the technical vision and development of ML infrastructure.
Requirements
- 6+ years 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
- 6+ years expertise building large scale, compliant ML architectures in the financial services or similarly regulated industry
- 6+ years experience using product-oriented, user experience-centered approaches to building ML platforms and services
Responsibilities
- Support the 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
Other
- 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
