Remote Data Scientist II: Scalable ML & Personalization

Gap Inc; San Francisco (CA); A distancia; USD 207.000 - 217.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Merchandise discount

Competitive PTO

401(k) with company match

Employee stock purchase plan

Descripción de la vacante

Gap Inc. is seeking a Senior Machine Learning Engineer to design, build, and maintain production-scale ML pipelines for our e-commerce platforms across multiple brands.

You will implement transformer-based and embedding-based models, handling data ingestion, feature engineering, model training, and monitoring in a production environment. You will collaborate with Product Managers and cross-functional teams to translate business requirements into robust technical designs, optimize cloud

Formación

• Master’s degree in Data Science, Computer Science, Computer Information Systems or related field with 4+ years of work experience.
• Experience designing end-to-end ML pipelines including data ingestion, feature engineering, training, inference and monitoring.
• Familiarity with cloud ML platforms, MLOps, and production-grade software practices.

Responsabilidades

• Design and maintain production-scale ML pipelines for e-commerce recommendations.
• Implement and optimize transformer-based and embedding-based models for personalization.
• Collaborate with Product Managers and cross-functional teams to translate requirements into scalable architectures.

Conocimientos

PySpark

Azure Databricks

Delta Lake

Python

SQL

MLOps

Educación

Master’s degree in Data Science, CS, or related field

Herramientas

GitHub Actions

Databricks workflows

CI/CD

Descripción del empleo

Gap Inc. is seeking a Senior Machine Learning Engineer to design, build, and maintain production-scale ML pipelines for our e-commerce platforms across multiple brands.

You will implement transformer-based and embedding-based models, handling data ingestion, feature engineering, model training, and monitoring in a production environment. You will collaborate with Product Managers and cross-functional teams to translate business requirements into robust technical designs, optimize cloud