Applied Scientist II, Natural Language and Multimodal Search

About the role

Amazon Search science role developing multimodal relevance and ranking models, text-image embeddings, and experiments for large-scale product search; requires PhD or Master's plus experience.

Requirements

• PhD, or Master's plus 2+ years of CS, computer engineering, or ML field experience
• Programming in Python, Java, C++, or related language
• Experience in ML, reinforcement learning, deep learning, computer vision, or NLP
• Experience with large-scale search, recommendation, ads ranking, or personalization
• Experience with A/B testing and production ML

What you'll do

• Train and ship deep learning ranking and semantic matching models over text and images
• Build training data and evaluations for search relevance
• Develop joint text-image embeddings using contrastive training
• Run A/B experiments and analyze precision/recall
• Take models from prototype to production at scale

Where this was posted

• LinkedIn

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