Company Name

Amazon Development Centre (India) Pvt Ltd ( Hyderabad )

Job Description

• Job description
  • The Translation Services (TS) team is looking for a world-class Applied Scientist to join our India Science team and use AI to break down visual language barriers for Amazon customers worldwide. Our team is pioneering image translation technology that enables customers to understand product images, infographics, and visual content in their native language. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings at peer-reviewed conferences and workshops.
  • With the recent advancements in Visual Language Models (VLM), Translation Services is reimagining how we make visual content accessible across languages. Were looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering teams, and make strategic investments for the long-term. Our research themes include, but are not limited to: Visual Language Models, multimodal machine translation, scene text detection and recognition (OCR), contrastive learning, diffusion models for image-to-image translation, few-shot and zero-shot learning, transfer learning across languages and scripts, unsupervised and semi-supervised methods, active learning for multilingual visual understanding, and large-scale image translation systems.
  • Innovate in visual translation: Design, develop, and deploy state-of-the-art machine learning models for image translation, including text detection, recognition, and translation in images across multiple languages and scripts.
  • Advance VLM research: Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual Language Model space applied to translation use cases.
  • Experiment and iterate: Design and execute experiments to evaluate the performance of different models across diverse image types, languages, and domains, and iterate quickly to improve results.
  • Build robust evaluation frameworks: Create comprehensive evaluation frameworks for assessing model performance across different languages, scripts (Latin, CJK, RTL, Indic), visual domains, and translation quality metrics.
  • Think big and long-term: Envision the future of visual translation over a multi-year horizon, and identify new opportunities to apply VLM technologies to solve real-world translation problems at Amazon scale.
  • Drive scientific excellence: Publish your research at top-tier conferences.
  • Collaborate across teams: Work closely with Applied Scientists, MLEs, and engineers to translate research prototypes into production systems serving millions of customers.
  • Communicate impact: Present results and insights to both technical and non-technical audiences, including through presentations, written reports, and scientific publications.

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