ML Engineer: Personalization & Recommendations

Extyl; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Extyl seeks a middle-level ML Engineer to work on project-based efforts centered on recommendation systems for e-commerce. You will collaborate with client teams to develop and optimize personalization models, from prototyping to production deployment.

The role emphasizes strong Python proficiency and hands-on experience with PyTorch, CatBoost and XGBoost, plus practical knowledge of evaluation metrics for model performance.

Qualifications

• Solid foundation in Python and ML libraries such as PyTorch, CatBoost and XGBoost.
• Experience in model development and deployment, particularly for personalization projects.
• Familiarity with recommendation techniques and evaluation metrics to measure model performance.

Responsibilities

• Develop and maintain ML models tailored for recommendation systems.
• Prototype ideas and deploy models into production environments.
• Collaborate with client teams to ensure models meet user needs and performance goals.

Skills

Python

PyTorch

CatBoost

XGBoost

Recommendation systems

Model deployment

Tools

Git

Docker

Kubernetes

Job description

Extyl seeks a middle-level ML Engineer to work on project-based efforts centered on recommendation systems for e-commerce. You will collaborate with client teams to develop and optimize personalization models, from prototyping to production deployment.

The role emphasizes strong Python proficiency and hands-on experience with PyTorch, CatBoost and XGBoost, plus practical knowledge of evaluation metrics for model performance.