Amazon
Applied Scientist II, Natural Language and Multimodal Search
$143K–$193K
Seattle, WA · Full-time · Posted Jul 10, 2026
- Experience
- 2+ years with a Master's degree; alternatively, a PhD. Preferred: 1+ years building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search.
- Education
- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
About the job
Build and deploy large-scale natural-language and multimodal search models that retrieve and rank relevant products using queries, text, and product images.
What you'll do
- Design, train, and ship deep-learning ranking and semantic-matching models; build training data and evaluation methods.
- Train vision-language encoders and joint text-image embeddings, and develop product-attribute matching signals.
- Run offline and online A/B experiments, analyze results, and take models from prototype to production.
What they ask for
- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
- Programming experience in Java, C++, Python or a related language
- Experience in machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), or related applications
Nice to have
- Experience building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search
- Experience with A/B testing, practical ML at scale, deep neural ranking/relevance models, or taking ML models from prototype to production
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP)
AI focus
Develop and deploy natural-language and multimodal search models, including vision-language encoders, joint text-image embeddings, relevance and ranking models, and training and evaluation methods.
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