Applied Scientist I, Ads Trust Science

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens

I korthet

As an Applied Scientist I on the Ads Trust Science team, you will build and deploy machine learning models to moderate millions of ads daily across global platforms. This role involves working at the forefront of multimodal content understanding, combining vision and language models to address complex challenges at Amazon's scale.

Ansvarsområden

Design and train multimodal (vision + language) ML models to flag or clear ads at massive scale.
Build systems that generalize ML models across languages, scripts, and cultural contexts.
Take models from notebook to production, including writing code, building pipelines, and owning moderation systems.
Collaborate with engineers and scientists to deploy research ideas into production.
Ship models that protect customers by ensuring ad quality.

Krav

Experience building machine learning models or developing algorithms for business applications.
Experience in state-of-the-art deep learning models architecture design, deep learning training and optimization, and model pruning.
Currently has, or is in the process of obtaining, a Master's degree or equivalent in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields.
Experience researching machine learning, deep learning, NLP, computer vision, and data science.
Experience programming in Java, C++, Python, or a related language.
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Önskade kvalifikationer

Experience applying theoretical models in an applied environment.
Publications at top-tier peer-reviewed conferences or journals.
Master's degree.

Förmåner

Rare combination of real research problems with real production impact and real scale.
End-to-end ownership from problem formulation to deployment.
Opportunity to work on a genuinely hard, underexplored ML problem in Trust and Safety.
Inclusive culture that empowers Amazonians.

Färdigheter

Machine LearningDeep LearningNLPComputer VisionData SciencePythonJavaC++SQL

#Applied Science

Om Amazon

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