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Applied Scientist, AGI Vertical Services - Speech, Audio & Video

Amazon

Aachen

Vor Ort

EUR 70.000 - 100.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading technology company in Germany is seeking an experienced Applied Scientist to join their AGI-VS team. The ideal candidate will have a robust background in deep learning and be adept at solving key industry problems through specialized models. Responsibilities include working with innovative algorithms and optimizing the customer experience. A PhD or Master's degree with relevant work experience is required for this role, which offers the opportunity to be part of a pioneering technology team.

Qualifikationen

  • 3+ years of building models for business applications.
  • PhD or Master's degree with 4+ years of experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences.

Aufgaben

  • Solve key industry problems through optimized models and services.
  • Research innovative algorithms and support the science solution design.
  • Work closely with engineers and scientists to deliver solutions.

Kenntnisse

Building models for business applications
Deep learning
Algorithms and data structures
Programming in Java, C++, Python

Ausbildung

PhD in relevant field
Master's degree with experience
Jobbeschreibung
Applied Scientist, AGI Vertical Services - Speech, Audio & Video

The Artificial General Intelligence - Vertical Service (AGI-VS) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and in multi-modal systems.

Key job responsibilities include solving key industry problems through specialized and optimized models and services, leading the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovation on multi-modal (speech/audio/video) representations, understanding, transformation and generation for streaming and non-streaming applications, learning from human and AI feedback, inference time optimizations, and data efficient scaling.

A day in the life, you will support the science solution design, run experiments, research innovative algorithms, and find new ways of optimizing the customer experience, while setting examples for the team on best science practice and standards. You will work closely with talented engineers and scientists to deliver your robust solution to core customers within and outside of Amazon.

About the team, the AGI-VS team's mission is to solve industry- or task- specific GenAI problems through specialized models and services. Powered by Amazon AGI’s Foundational Models, Compute and Modeling Infrastructure, we accelerate productivity for 1P and 3P professionals, and unbox true creativity in content creation.

Responsibilities and Qualifications:

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

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