Staff Machine Learning Engineer - Retention

Taskrabbit
New York, San Francisco
Workplace: HybridFull timeUSD 170,000 - 225,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Communication","Collaboration","Problem-solving","Learning agility"]

Lead Taskrabbit’s customer retention machine learning strategy in a critical full-stack role spanning the end-to-end ML lifecycle. Own the reliability and performance of the core ranking model, improve repeat purchase frequency via matching and recommendations, and expand customer lifetime value with pricing, segmentation, and predictive quality interventions. Build scalable ML infrastructure, data pipelines, and monitoring/observability to optimize training, inference, and evaluation in production across real-time, near real-time, and batch systems.

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FursaFursa
Taskrabbit
Taskrabbit
3 days ago

Staff Machine Learning Engineer - Retention

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 4 days ago

Job Summary

Lead Taskrabbit’s customer retention machine learning strategy in a critical full-stack role spanning the end-to-end ML lifecycle. Own the reliability and performance of the core ranking model, improve repeat purchase frequency via matching and recommendations, and expand customer lifetime value with pricing, segmentation, and predictive quality interventions. Build scalable ML infrastructure, data pipelines, and monitoring/observability to optimize training, inference, and evaluation in production across real-time, near real-time, and batch systems.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the reliability and performance of the core ranking system, optimizing tasker-to-job matching and First-Time Right rates.
  • •Drive increased repeat purchase frequency through intelligent matching, personalized recommendations, and category discovery.
  • •Expand customer lifetime value using dynamic pricing, smart segmentation, and category-specific experiences to improve affordability and relevance.
  • •Own the end-to-end ML lifecycle from feature engineering and training through evaluation, deployment, monitoring, and ongoing optimization.
  • •Build scalable, reliable ML infrastructure and monitoring/observability systems to keep high-value customers engaged and improve model performance in production.

Pay and Benefits

Salary: USD 170,000 - 225,000 annually
Perks:Health Insurance401kLearning BudgetWellness StipendProduct Stipend

Key Requirements

  • •BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
  • •8+ years building and deploying production-grade machine learning models and systems.
  • •Strong ML knowledge with experience in search, ranking, recommender systems, pricing/elasticity modeling, or predictive analytics.
  • •Proficiency in SQL for writing complex queries and transforming data.
  • •Experience building REST API-based services and using modern data/ML tech such as Docker, Kubernetes, Kafka, Airflow, and data warehouses (e.g., Snowflake, Redshift, or BigQuery).
Experience:8+ yearsMarketplacePlatformMachine learningRecommendation systems
Education:
Skills:CommunicationCollaborationProblem-solvingLearning agility
Languages:English
Tech Stack:PythonScikit-learnLightgbmXGBoostTensorFlowPyTorchSQLREST APIDockerKubernetesKafkaAirflowSnowflakeRedshiftBigQueryDbtGitHub ActionsCI/CDFeature engineeringModel deployment

Company Brief

Taskrabbit
Operates an online marketplace that connects users with local freelance labor for household tasks such as furniture assembly, moving, cleaning, and home repairs, matching vetted 'Taskers' with customers for on‑demand local services.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2008
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn