Description

Build deep learning models for large-scale recommender systems and Gen AI applications.

This role is remote.

Responsibilities

• Design and improve recommender systems combining user behavior, product data, and contextual signals.
• Apply Generative AI and LLMs to enhance personalization and customer-facing features.
• Design and run A/B tests and segmentation-based experiments to measure personalization impact.
• Build and curate datasets, developing scalable pipelines with Data Engineering support.
• Partner with engineering to deploy models in production and communicate findings to stakeholders.

Required Skills

• 2+ years building deep learning models for large-scale recommender systems.
• Proficiency in TensorFlow or PyTorch.
• Strong SQL, Python, and Spark for data analysis.
• Experience with LLMs or Generative systems in applied settings.
• Knowledge of statistics, experimental design, and exploratory data analysis.
• 5+ years total professional experience.

Preferred Skills

• Experience with Databricks.
• Experience with Azure or GCP cloud platforms.
• Familiarity with MLOps and data engineering workflows.

Key Skills

Education

Any Graduate