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Truebill Logo Truebill · IT - Software Development

Staff Machine Learning Engineer

United States, San Francisco 210000.00 - 260000.00 USD / Year · Job Posted December 13, 2025
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Job Description

Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances.

Job Responsibility

  • Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
  • Design, implement, and maintain robust evaluation frameworks
  • Develop novel new product experiences
  • Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
  • Provide technical mentorship

Requirements

  • 8+ years of professional experience in machine learning engineering or data science roles
  • Proven track record of designing and implementing ML systems at consumer tech scale and speed
  • Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
  • Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
  • Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
  • Understanding of ML methods at a fundamental level
  • Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
  • Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
  • Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
  • Technical leader who can identify both emergent technical opportunities and gaps relative to best practice
  • Strong communication skills
  • Care about products and user experiences

Nice to have

  • Working Typescript knowledge
  • Deep experience in NLP techniques

What we offer

  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)
  • Bonus
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