Senior GenAI Scientist, Foundation AI Assets

Amazon Inc.

Seattle (WA)

Ibrido

USD 167.000 - 226.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Health insurance
RSUs
401(k) matching
Paid time off
Parental leave
Sign-on payments

Descrizione del lavoro

Amazon Seattle is seeking an Applied Scientist III for the Foundation AI Assets (FAI) team to build and deploy industry-leading GenAI technology with large language models. You will design novel ML and DL models, take solutions from research to production, and mentor other scientists and engineers while upholding high code quality and scalability.

Collaborate with cross-functional partners to translate business problems into scientific approaches, and contribute to the team’s cutting-edge

Competenze

  • PhD or Master’s degree with 6+ years of applied research experience.
  • 5+ years of building machine learning models for business applications.
  • Experience with neural deep learning methods and ML systems at scale.

Mansioni

  • Design and implement novel ML/DL models from research to production with scalable code.
  • Advance scientific agenda by identifying opportunities and aligning with leadership.
  • Evaluate models using rigorous experiments and advanced architectures (Transformers/CNNs).
  • Mentor scientists and engineers; perform code/design reviews to raise the technical bar.
  • Collaborate cross-functionally to translate business problems into scientific approaches.

Conoscenze

Deep learning
ML development
Java/C++/Python

Formazione

PhD or Master's + 6+ years

Strumenti

PyTorch
TensorFlow

Descrizione del lavoro

Amazon Seattle is seeking an Applied Scientist III for the Foundation AI Assets (FAI) team to build and deploy industry-leading GenAI technology with large language models. You will design novel ML and DL models, take solutions from research to production, and mentor other scientists and engineers while upholding high code quality and scalability.

Collaborate with cross-functional partners to translate business problems into scientific approaches, and contribute to the team’s cutting-edge

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