Staff Machine Learning Engineer, Rocket Money
Product
$210-260k
+ Bonus
Smart financial management and spending analysis app
Be an early applicant
Smart financial management and spending analysis app
201-500 employees
Be an early applicant
$210-260k
+ Bonus
201-500 employees
Company mission
To empower people to live their best financial lives.
Role
Who you are
- 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
What the job involves
- At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team
- As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product 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. 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
- 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
- We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users
Our take
Managing finances has become increasingly difficult in the last couple of decades, despite access to online banking and other financial apps. The mass of subscriptions, standing orders and utility bills the average American is subject to ultimately makes it difficult to assess and manage their finances within one place.
Rocket Money (formerly Truebill) provides a mobile application that includes a variety of tools that aim to simplify financial management. Tools include an automatic subscription tracker which aims to increase transparency and simplicity for canceling unwanted subscriptions, in addition to monthly spending analytics and budgeting plans.
Whilst there seems to be an app for just about every form of financial management, Rocket Money has taken much-needed action by unifying everything into a single app. Whilst the company initially focused on financial management tools, it's now branched out to more direct financial tools such as utility bill comparison services, autopilot saving and paycheque advance loans.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$45m
SERIES D
Nov 2020
$17m
SERIES C
Total funding: $84m
Company benefits
- Health, Dental & Vision Plans
- Competitive Pay
- Matching 401k
- Unlimited PTO
- Lunch daily
- Snacks & Coffee
- Commuter benefits
Company HQ
Downtown Silver Spring, Silver Spring, MD
Leadership
Haroon Mokhtarzada
(CEO & Chairman)They worked as CEO of Webs for 10 years, while studying at Harvard Law School, before working as VP at Vistaprint. They left this role in 2016 having co-founded Truebill (which later became Rocket Money) in November 2015.
Yahya Mokhtarzada
(CRO)Having studied at the University of Maryland, they worked in Business Development for Webs.com, SGN, appssavvy, and Nanigans for a combined 9 years. In November 2015 they co-founded Truebill.
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