Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

Rocket Money is in the next phase of its machine learning journey. Over the past two years, we’ve taken models from their infancy to critical path - classifying billions of transactions for millions of users, predicting LTV in milliseconds, and building the monitoring, tooling, and infrastructure that enables that level of operation. Currently, this team reports to the VP of Data, but it’s time to install a dedicated manager. This person will be responsible for maintaining and improving the operational dependency of the team, adding new models into the critical path of the product (think account balance prediction, propensity models) along with the infrastructure that turns ML into a system within Rocket Money, while growing the team in impact and size. 



In this role, you will:

  • Lead a team of Machine Learning Engineers - balance both day to day operational needs of operating critical path ML models with investing in key product and infrastructure projects.
  • Be a system builder - Rocket Money tends to build engineering systems that self heal, alert when they break, and are generally independent. Our ML systems will benefit from an automate and scale mindset.
  • Grow and retain a great team. Our ML Engineers are awesome; we want you to help us find more and keep them engaged and excited with hard problems and operational challenges in a positive, solution focused environment.
  • Help us increase the impact ML can have at Rocket Money. Right now, our models are siloed in architecture and tooling. As we bring more models online, we’ll need to synthesize and establish common patterns that enable scale.
  • Ship, observe, measure, learn, iterate - that’s the mantra of the team. Build the feedback loops first and iterate to product solutions. Our motto is to learn faster than others - and you’ll be key to growing that culture.



  • You have demonstrated practical experience running multiple ML projects in a production environment that are critical paths where inference time and reliability are key operating metrics
  • Ferocious documenter (we're an async organization that works remotely and documentation is essential to our success). Bonus points if you fix Notion search someday
  • Experience in the curation and construction of a training data corpus, particularly ones susceptible to drift in both time and composition due to human behavior
  • You're a player-coach - sometimes it just makes sense to write the code yourself and show the way forward or take on some extra capacity for the team
  • Have experience with state-of-the-art models and compute technologies (transformer models, neural networks, SageMaker, Vertex AI) cloud based ML systems
  • Comfortable with a scripting language and building an end-to-end pipeline. Understand in-depth the construction of pre-processing, training, modeling versioning, deployment, and monitoring systems
  • Have managed a team of machine learning engineers and scientists to solve business problems at large volume inference problems at consumer or b2b scale (think transactions, trading, agriculture)
  • A background in product experimentation and measurement is highly desired, as most models are champion/challenger tested with consumer KPIs (LTV, Churn, Activation) as primary decision points
  • Bonus points for experience with low latency streaming solutions on modern cloud workflow pipelines



  • Health, Dental & Vision Plans
  • Competitive Pay
  • Matching 401k
  • Unlimited PTO
  • Lunch daily
  • Snacks & Coffee
  • Commuter benefits

Additional information: Minimum salary of $180,000/year + bonus + benefits

*Note: Disclosure as required by sb19-085(8-5-20), however, base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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