ABOUT THE ROLE 🤹‍♀️

• We are user-focused. As we build software, we keep the end-user in mind to ensure that we're building something that will make a difference for them
• We are all both students and teachers. We value the sharing of knowledge and the drive to grow and become better engineers, data scientists, product managers, and more
• Enhance and scale our machine learning systems used to process and enrich consumer finance transactions
• Build observability into the models and be responsible for the predictions being served to our customers
• Partner with Data Scientists and Research Engineers to collaboratively deliver practical, efficient learning systems
• Incorporate existing user labels and feedback in the training pipeline and build tooling for maintenance of training data
• Create scalable and friendly processes for efficient monitoring, tracing, profiling, and debugging of deployed models
• Work closely with the data science team and product owners to continuously evaluate and improve production models

ABOUT YOU 🦄

• You have 4+ years of experience building and operating ML models for consumer applications, particularly those with experience building end-to-end systems
• Practical experience scaling models for speed and data capacity as part of a production system
• Experience in building pipelines for the extraction, enrichment, and classification of text
• Experience with current ML tooling and willingness to learn and test new frameworks best suited to the problem
• Strong opinions on how to instrument their ML models that ensure quality predictions are being delivered to our users
• Prior experience with financial data, time series predictions, and transformer models is highly desired

WE OFFER 💫

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

Additional information: Minimum salary of $160,000/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.