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Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA new

  • Possible Finance
  • Full time
  • Email
  • Seattle, WA

Responsibilities

  • Design and roll out a shared feature store for data science experimentation and production use.
  • Build drift monitoring to detect model degradation before it affects customers.
  • Consolidate model experimentation and deployment tooling into a clean, reliable pipeline.
  • Own Possible’s ML infrastructure strategy, processes, and standards as the first dedicated infrastructure specialist.
  • Work cross-functionally with data scientists and engineers to adopt new tooling.

Requirements

  • Deep, hands-on production experience building and operating machine learning infrastructure, including feature stores, model serving, and monitoring systems.
  • Track record of solving ambiguous and undefined problems without an existing playbook.
  • Strong proficiency in Python, AWS, and Databricks.
  • Engagement with the broader MLOps tooling landscape and sound judgment in evaluating and selecting tools.
  • Demonstrated accountability and drive for concrete results.
  • Comfort collaborating cross-functionally and bringing colleagues along on new tooling.
  • Self-starter mindset and enthusiasm for building systems from scratch.

Benefits

  • Hybrid position requiring work from the downtown Seattle office three days per week on Monday, Tuesday, and Thursday.
  • Significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and complimentary drinks and food in the office.

Salary: $187k - $202k/yr

Possible Finance

Possible Finance builds a mobile-first consumer lending platform offering small-dollar installment loans and credit-building products for underserved U.S. borrowers. The company earns revenue from lending fees and interest, and operates as a Public Benefit Corporation focused on affordable credit...

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