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Staff Machine Learning Engineer

Marqeta | RemoteOtter

San Francisco, CARemote OKFull-time$177k – $260k / year

About this role

Staff Machine Learning Engineer - Infrastructure - Marqeta | RemoteOtter Staff Machine Learning Engineer - Infrastructure - Remote Posted 43 weeks ago Software Development Full Time USA $176,800 - $260,000/year Machine Learning ML Infrastructure AWS Data Pipelines MLOps Collaboration Technical Design Operational Excellence Mentorship Financial Services Apply Now Overview As a Staff Engineer, Machine Learning Infrastructure within our Data+ML organization, you will support the technical vision and development of ML infrastructure used to enable the end-to-end development and delivery of ML models at Marqeta. In Short - Support the technical vision for our ML infrastructure optimized to support our customers and internal Machine Learning Scientists. - 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. - Maintain a high bar for operational excellence, drive best practices, and operate ML capabilities within established SLAs. - Collaborate with key stakeholders to drive governance, security, and management best practices. - Provide career mentorship and guidance to members of the Data+ML organization. Requirements - 6+ years experience in a Machine Learning engineering role with deep expertise in ML architecture and MLOps. - 6+ years expertise in building large scale ML architectures in the financial services or similarly regulated industry. - Excellent communication and interpersonal skills. - Proven ability to develop structure, advance execution, and measure performance. - Proactive and strategic mindset. - High ethical standards and a commitment to promoting a strong culture. - BS degree preferred. Benefits - Multiple health insurance options. - Flexible time off – take what you need. - Re

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