Senior AGI Customization Scientist – LLM Personalization

Amazon; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Amazon is looking for a Senior Applied Scientist to join their Artificial General Intelligence (AGI) Customization Team in San Francisco, California. This role involves developing innovative tools for model customization, including techniques like supervised fine-tuning and reinforcement learning.

The ideal candidate will have a strong background in machine learning and will work closely with cross-functional teams to create enterprise-ready solutions. Qualifications include a PhD or Master’s degree, programming experience, and a passion for advancing AI technologies.

Qualifications

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

Responsibilities

• Contribute to the development of novel customization techniques for model adaptation.
• Collaborate with cross-functional teams to design enterprise-ready tooling.
• Develop evaluation frameworks for assessing model performance.

Skills

Machine learning models

Java

C++

Python

Neural deep learning methods

Education

PhD or Master's degree

Tools

R

TensorFlow

scikit-learn

Apache Spark

Job description

Amazon is looking for a Senior Applied Scientist to join their Artificial General Intelligence (AGI) Customization Team in San Francisco, California. This role involves developing innovative tools for model customization, including techniques like supervised fine-tuning and reinforcement learning.

The ideal candidate will have a strong background in machine learning and will work closely with cross-functional teams to create enterprise-ready solutions. Qualifications include a PhD or Master’s degree, programming experience, and a passion for advancing AI technologies.