Staff Machine Learning Engineer (Product)

Join Rocket Money as a Staff Machine Learning Engineer, where you will lead the architecture and development of complex AI and ML powered features across our product suite. You will design, implement, and maintain robust evaluation frameworks, develop novel product experiences, and own the end-to-end development and implementation of ML and AI product features. You will also provide technical mentorship, develop comprehensive evaluation and ML Ops frameworks, and scale transaction metadata generation systems. This role requires 8+ years of professional experience in machine learning engineering or data science roles, expert-level proficiency in Python and SQL, and a passion for creating impactful user experiences.

• 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. Ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same.
• 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.
• 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
• 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
• 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
• 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
• 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
• You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches
• 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