Applied AI/ML Scientist, Intern

Tech Stack

Responsibilities

• Build and train machine learning models to predict how orders are packed and recommend cost-efficient packing methods
• Train multimodal deep learning models to infer physical characteristics of catalog products from images and text
• Prototype and train models offline, benchmarking against current methods
• Collaborate with Applied Scientists and ML Engineers to test models against live traffic
• Present research findings and project recommendations to the team

Benefits

• Equity
• Remote Work

Culture

Requirements