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Head of Machine Learning

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Hybrid

Head of Machine Learning

Earnin

Head of Machine Learning

Skills

SQL QueriesPythonMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$414,000 – $506,000 / year

Location:

Mountain View, CA, USA

Work mode:

Hybrid

Published on:

29 August 2026

What they need


  • We are seeking an experienced and visionary Head of Machine Learning and Data to lead and scale our data and machine learning efforts across the company
  • As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver exceptional customer value
  • Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact
  • The Head of ML & Data will focus on operational excellence for our machine learning systems by creating and executing a vision to move ML models from research to production, ensuring high performance, reliability, and maintainability
  • Define and own the data and machine learning roadmap in alignment with business goals
  • Lead the ML & Data organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems
  • Drive a culture of scientific and engineering rigor and real-world pragmatism in your team’s work, particularly to quantify the impact of features on relevant engagement metrics
  • Collaborate with software engineers, product managers, and marketing to coordinate timely deployments from conception to release

Benefits

  • 401k
  • FSA
  • Mental health resources
  • Employee Resource Groups
  • Stipend for growth opportunities
  • Pet friendly office
  • Work from home opportunities
  • Health insurance- The ideal candidate will have a proven track record of deploying ML models at scale, particularly in fast-paced startup environments
  • A strong foundation in coding, familiarity with production-level ML engineering practices, and the ability to bridge theoretical concepts with practical implementation are essential
  • Industry experience building and productionizing machine learning systems
  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience
  • Advanced knowledge of Python, SQL
  • Extensive breadth and depth of knowledge of machine learning algorithms
  • 7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Strong oral and written communication skills
  • 12+ years of experience in Engineering or Scientific domains,

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