Staff Machine Learning Engineer - Retention
Taskrabbit - San Francisco Bay Area
Hiring: Staff Machine Learning Engineer - Retention Company: Taskrabbit Location: San Francisco Bay Area Job Posted Time: 2026-09-15 22:08:35 Employment Type: Hybrid Target Skills & Keywords : Assembly, Data Pipeline, HBase, Machine Learning About the job Required Skills: •Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power •repeat customer engagement and lifetime value growth at scale. •Taskrabbit's greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. There's significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expansion unlocks new revenue streams within our existing customer base. •This role is central to capturing that opportunity. •While initial matching quality and service discovery matter, the real competitive advantage and growth lever is optimizing the experience •a successful first job. •What You'll Work On: •Taskrabbit Ranking Model: •Own the reliability and performance of our core ranking system, ensuring accurate tasker-to-job matching and optimizing First-Time Right (FTR) rates. •Increased repeat purchase frequency •through intelligent matching, personalized recommendations, and category discovery •Expanded customer lifetime value •by helping customers find and return for new service categories •Optimized affordability and relevance •via dynamic pricing, smart segmentation, and category-specific experiences Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!