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Staff Machine Learning Engineer - Infrastructure - Remote

Posted Yesterday
Software Development
Full Time
USA
$176,800 - $260,000/year

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 ML infrastructure.
  • Create infrastructure for end-to-end ML development and delivery.
  • Collaborate with various teams to define technical designs.
  • Maintain high standards for operational excellence.
  • Drive governance and management best practices.
  • Provide mentorship to members of the Data+ML organization.

Requirements

  • 6+ years of experience in Machine Learning engineering.
  • Deep expertise in ML architecture and MLOps.
  • Experience in building large scale ML architectures.
  • Excellent communication and interpersonal skills.
  • Proven ability to develop structure and measure performance.
  • Strong proactive and strategic mindset.

Benefits

  • Multiple health insurance options.
  • Flexible time off.
  • Retirement savings program with company contribution.
  • Equity in a publicly-traded company.
  • Family-forming benefits and parental leave.
  • Monthly stipend for remote work support.
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MQ Referrals Only

Marqeta is a forward-thinking technology company that specializes in modern card issuing and payment processing solutions. With a commitment to flexibility and innovation, Marqeta operates under a 'Flexible First' model, allowing employees to choose their preferred working environment, whether remote or in-office. The company emphasizes a collaborative and strategic approach to human resources, focusing on the development and execution of comprehensive people strategies that align with business objectives. Marqeta values its employees by offering competitive compensation, comprehensive benefits, and opportunities for professional growth, fostering a culture of excellence and adaptability in a fast-paced global market.

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