Applied Scientist II, Amazon Search

About the role

Amazon Search is reinventing how customers find products through natural-language and semantic understanding. We are looking for an Applied Scientist II to push the science behind Natural Language Search that interprets complex, constraint-rich shopping queries, retrieves and ranks the most relevant products.

Responsibilities

• Design, train, and ship deep-learning ranking and semantic-matching models that improve search relevance and reduce how often customers see irrelevant results, across hard query types.
• Build the training data and evaluation methods that make these models work: synthetic and historical labels, hard-negative mining, and targeted sampling at the cases where search fails.
• Develop signals that match product attributes to what the customer actually asked for.
• Run offline and online A/B experiments, analyze precision/recall tradeoffs, and iterate to launch.
• Work with engineers and scientists across teams to take models from prototype to production at Amazon scale.

Qualifications

• PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications