Job Url: https://www.remoterocketship.com/company/rocket-money-formerly-truebill/jobs/staff-ml-engineer-united-states-remote

Job Description: 
Rocket Money (formerly Truebill)
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Rocket Money is a comprehensive personal finance management app designed to help users save more, spend less, and take control of their financial lives. The app offers features such as subscription management, spending insights, bill negotiation, net worth tracking, budgeting, and credit score monitoring. 

With its automated services, Rocket Money aims to simplify money management by finding and tracking subscriptions, helping to negotiate lower bills, and automating savings processes. Users can link all of their financial accounts in one place to get a full financial picture and set financial goals. 

The app also provides access to financial experts who can assist with personal finance queries. 


51 - 200 employees

💸 Finance

💳 Fintech

👥 B2C

Staff ML Engineer
4 days ago

🏄 California – Remote


+1 more states


💵 $210k - $260k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

Python

SQL

TypeScript

Apply Now


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📋 Description
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.

🎯 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 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.

🏖️ 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)