Responsibilities

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 after a successful first job.
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
End-to-End ML Lifecycle: Own the complete lifecycle of models—from feature engineering and training through evaluation, deployment, monitoring, and optimization in production.
Infrastructure & Scalability: Build and maintain scalable, reliable ML infrastructure and data pipelines that support reproducible feature engineering and model deployment across real-time, near real-time, and batch contexts.
Monitoring & Performance Optimization: Develop monitoring and observability systems to understand data quality and model performance in complex systems. Collaborate with engineering and science teams to optimize algorithms for training, inference, and evaluation.

Staff Machine Learning Engineer - Retention at Taskrabbit · LumiJobs

Staff Machine Learning Engineer - Retention

Responsibilities

Benefits

Company

Taskrabbit

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