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9 часов назад

Staff Machine Learning Engineer - Retention

170 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Machine Learning Engineer - Retention (Machine Learning/Ranking): Building and operating production machine learning systems that improve repeat purchases, customer lifetime value, matching, recommendations, pricing, and retention at a marketplace scale with an accent on end-to-end model ownership and reliable ML infrastructure. Focus on ranking and recommender systems, scalable feature pipelines, real-time and batch deployment, model monitoring, and solving complex marketplace optimization problems.

Location: Hybrid, requiring two days per week in the San Francisco or New York City office every Tuesday and Wednesday

Salary: $170,000–$225,000 base pay annually

Company

hirify.global is a marketplace platform connecting customers with Taskers for home services such as furniture assembly, handyman work, and moving assistance.

What you will do

  • Own the reliability and performance of the tasker-to-job ranking system and improve First-Time Right rates.
  • Build machine learning solutions for repeat purchases, personalized recommendations, category discovery, dynamic pricing, and customer retention.
  • Manage the full model lifecycle from feature engineering and training through evaluation, deployment, monitoring, and production optimization.
  • Build scalable ML infrastructure and data pipelines for real-time, near-real-time, and batch workloads.
  • Develop monitoring and observability systems for data quality and model performance.
  • Write maintainable production code and contribute to reviews, documentation, and engineering best practices.

Requirements

  • 8+ years of industry experience building and deploying production-grade machine learning models and systems.
  • Strong experience with machine learning for search, ranking, recommender systems, pricing and elasticity modeling, or predictive analytics.
  • Proficiency in Python or another programming language, SQL, and popular machine learning libraries such as Scikit-learn, LightGBM, XGBoost, TensorFlow, or PyTorch.
  • Experience building REST API services and working with Docker, Kubernetes, Kafka, Airflow, data warehouses, and data lakes.
  • Experience with model deployment, monitoring, data quality, and scalable feature engineering.
  • BS, MS, or PhD in computer science, statistics, operations research, or a related quantitative field.

Nice to have

  • Experience with dbt, infrastructure as code, GitHub Actions, and CI/CD pipelines.
  • Experience working in marketplace or platform environments involving ranking, matching, and pricing.

Culture & Benefits

  • Hybrid work model with regular in-person collaboration.
  • Employer-paid health insurance and a 401(k) match with immediate vesting for US-based employees.
  • Flexible paid time off and two company-wide closure weeks.
  • Product, wellness, productivity, and education stipends.
  • IKEA discounts and reproductive health support.
  • Benefits vary by country of employment.

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