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Staff ML Engineer, Product

Rocket Money

$210,000 - $260,000
Oct 24, 2025
Remote, US
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Rocket Money aims to empower individuals to improve their financial lives by developing AI and ML-powered products that enhance customer relationships with financial products, offering a unique understanding of finances and saving time and money.

Requirements

  • 8+ years of professional experience in machine learning engineering or data science roles, with a 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 to support rapid product development cycles and systematic model evaluation.
  • 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.
  • Working Typescript knowledge is a plus.
  • You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
  • You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.

Responsibilities

  • Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
  • Design, implement, and maintain robust evaluation frameworks.
  • Develop novel new product experiences that you are uniquely positioned to enable for users.
  • Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams.
  • Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work.
  • Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features.
  • Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app.

Other

  • You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation.
  • You’ve owned the development, launch, and maintenance for several scaled ML/AI powered product experiences.
  • You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice.
  • Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
  • You care about products and user experiences, not publications.