# Staff Machine Learning Engineer - Retention at TaskRabbit

- Company: TaskRabbit
- What the company does: Our same-day service platform instantly connects you with skilled Taskers to help with cleaning, furniture assembly, home repairs, running errands and more. Backed by Lightspeed and 500 Global.
- Company website: https://taskrabbit.com/
- Type: Startups (AI role)
- Level: Senior
- Location: New York, New York, United States; San Francisco, California, United States
- Work setup: On-site
- Pay: $170K to $225K base salary per year (USD)
- Posted: 2026-09-15
- Apply by: 2026-10-30
- Apply: https://job-boards.greenhouse.io/taskrabbit/jobs/8205160
- Page: https://www.1752.vc/careers/jobs/taskrabbit-staff-machine-learning-engineer-retention/

## About the role

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.

## What they're looking for

- 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
- Reduced friction and churn through predictive quality interventions and proactive customer success
- Marketplace resilience by building systems that keep high-value customers engaged and loyal

Tags: Data