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Staff Machine Learning Engineer - Retention

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Staff Machine Learning Engineer - Retention in USA new

  • TaskRabbit
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Own the reliability and performance of Taskrabbit’s core tasker-to-job ranking system and optimize First-Time Right rates.
  • Develop intelligent matching, personalized recommendations, category discovery, dynamic pricing, segmentation, and predictive quality or churn interventions to increase repeat purchases and customer lifetime value.
  • Own models end to end, including feature engineering, training, evaluation, deployment, monitoring, and production optimization.
  • Build scalable ML infrastructure and data pipelines supporting reproducible feature engineering and real-time, near-real-time, and batch model deployment.
  • Develop monitoring and observability systems for data quality and model performance, and optimize training, inference, and evaluation algorithms.
  • Write maintainable software and contribute to code reviews, documentation, and software engineering best practices.

Requirements

  • BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
  • 8+ years of industry experience building and deploying production-grade machine learning models and systems.
  • Strong machine learning expertise in areas such as search, ranking, recommender systems, pricing or elasticity modeling, and predictive analytics.
  • Strong software engineering skills with proficiency in one or more programming languages, including Python.
  • Experience with Scikit-learn, LightGBM, XGBoost, TensorFlow, or PyTorch.
  • Proficiency in SQL for complex queries and data transformation.
  • Experience building REST API-based services.
  • Experience with Docker, Kubernetes, Kafka, Airflow, data warehouses such as Snowflake, Redshift, or BigQuery, and data lakes.
  • Familiarity with dbt, GitHub Actions, and CI/CD pipelines is a plus.
  • Excellent communication skills and the ability to present complex findings to technical and non-technical audiences.
  • Marketplace or platform experience with ranking, matching, or pricing is preferred.

Benefits

  • Hybrid work requiring two days in the San Francisco or New York City office every Tuesday and Wednesday.
  • Employer-paid health insurance and a 401(k) match with immediate vesting for US-based employees.
  • Generous and flexible time off for global employees, including two company-wide closure weeks.
  • Taskrabbit product stipends, wellness, productivity, and education stipends, IKEA discounts, and reproductive health support.
  • Benefits vary by country of employment.

Salary: $170k - $225k/yr

TaskRabbit

TaskRabbit is a marketplace platform that connects users with skilled local workers, or Taskers, to tackle everyday home tasks like furniture assembly, handyman work, and moving assistance. By facilitating these connections, we empower both individuals seeking help and those looking to earn a fle...

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