Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
San Francisco, California, United States
Key technologies and capabilities for this role
Common questions about this position
The team has a strong preference for team players comfortable collaborating across teams, supporting strategy with ML and AI powered user experiences, delivering scalable and high quality user experiences, and understanding the effects of their products on end users.
Responsibilities include leading architecture and development of complex AI/ML features, designing robust evaluation frameworks, developing novel product experiences, owning end-to-end ML/AI feature implementation with cross-functional teams, and providing technical mentorship.
At the Staff level, Machine Learning Engineers are expected to build broad expertise into products and ML solutions, drive technical progress for the team, provide rigorous technical critique, effective communication of business impact, and technical leadership.
This information is not specified in the job description.
This information is not specified in the job description.
Personal finance management mobile application
Rocket Money helps individuals manage their personal finances through a mobile application that offers various tools for financial management. Users can access services like bill negotiation, subscription management, budgeting, credit score monitoring, and smart savings, all aimed at helping them save money and track their spending. Unlike many competitors, Rocket Money focuses on a member-centric approach, maintaining communication with users to tailor services to their needs. The company generates revenue through subscription fees and a percentage of savings from negotiated bills. The goal of Rocket Money is to empower people to achieve their financial goals while ensuring data security through advanced encryption.