Tech Lead, ML

Washington, D.C., Remote (USA)

ABOUT ROCKET MONEY 🔮

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 tech lead. 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. 

ABOUT THE ROLE 🤹‍♀️

In this role, you will:

• Technically lead a team that has an outsized impact within the Rocket Family of Companies

• Manage a team day to day working with product, engineering, and design stakeholders to incorporate machine intelligence into our consumer facing products.
• Operate the team - handling project management, prioritization, resourcing, and day to day operations of the system.
• Innovation - build a pipeline of novel additions to our consumer and internal facing products that drive the next round of scale and impact.

• Build great systems

• Build and tune process that enables efficiency and optimization of our infrastructure across the Rocket Family of Companies.
• Maintain and iterate on critical path machine learning systems responsible for enriching every transaction our users see (1 Billion/month!).
• Bring standardization into our machine learning initiatives.

• Grow and retain a great team that is proud to work at Rocket Money

• Directly manage a machine learning team (3-4).
• Develop strong feedback loops with your direct reports; focusing on coaching, career growth, and performance management.
• Recruit and scale the team responsibly over the next year.
• Encourage team members to share their work and research in both internal and external forums.

ABOUT YOU 🦄

• You 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)
• You're a player-coach - the reality is we’re a small team right now and as part of your role, you’ll be growing your reports but also in the interim, helping build
• 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
• 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
• Love to document (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
• Have experience with state-of-the-art models and compute technologies (transformer models, neural networks, SageMaker, Vertex AI) cloud based ML systems

WE OFFER 💫

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

Additional information: Salary range of $180,000 - $210,000 + bonus + benefits. 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.