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
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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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