Senior GenAI Scientist: Frontier LLM Assets

Amazon Inc.; Sunnyvale (CA); Presencial; USD 192.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) matching

Paid time off

Parental leave

Employee Assistance Program (EAP)

Flexible Spending Accounts (FSA)

Adoption and surrogacy reimbursement

Mental health support

Descripción de la vacante

Amazon.com Services LLC's Foundational AI (FAI) team seeks an Applied Scientist with a strong deep learning background to build GenAI technology with LLMs. You will develop RL Gym environments and contribute to frontier model advancement, applying your expertise to scalable model development and deployment.

The role involves analyzing experimental results, collaborating with engineers, coaching junior scientists, and documenting findings for research papers, with an emphasis on delivering

Formación

• 3+ years of building machine learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsabilidades

• Develop RL Gym environments and assess their usefulness for frontier model advancement.
• Support foundational model development in an applied research role.
• Collaborate with engineering partners to integrate models into products and services.

Conocimientos

GenAI

LLMs

Deep learning

RL

Python

Java

C++

Distributed systems

Educación

PhD or MS + 6+ years of applied research

Herramientas

Hadoop

Spark

TensorFlow

scikit-learn

MxNet

Numpy

Scipy

Descripción del empleo

Amazon.com Services LLC's Foundational AI (FAI) team seeks an Applied Scientist with a strong deep learning background to build GenAI technology with LLMs. You will develop RL Gym environments and contribute to frontier model advancement, applying your expertise to scalable model development and deployment.

The role involves analyzing experimental results, collaborating with engineers, coaching junior scientists, and documenting findings for research papers, with an emphasis on delivering