Rocket Money · 2 days ago
Staff ML Engineer, Product
Rocket Money is dedicated to empowering individuals to achieve their best financial lives through innovative financial products. As a Staff Machine Learning Engineer, you will lead the development of AI and ML-powered features, collaborating with cross-functional teams to enhance product experiences and drive technical progress.
Financial Services
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. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same
Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it’s unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts
Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you
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. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification
Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement
Architect user facing predictive features that depend on fast moving and large scale user transaction data
Qualification
Required
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
You understand ML methods at a fundamental level
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 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 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
You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches
Preferred
Working Typescript knowledge is a plus
Deep experience in NLP techniques is a plus
Benefits
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)
Company
Rocket Money
Rocket Money is a leading personal finance app with a mission to improve the financial prosperity of millions of people.
H1B Sponsorship
Rocket Money has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageRecent News
Seattle TechFlash
2025-08-31
2025-08-26
2025-08-13
Company data provided by crunchbase