Applied Scientist - Conversational AI & LLM Modeling

Socket.dev; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon’s CAMEL team in Bellevue is seeking an Applied Scientist to advance conversational AI through novel modeling techniques and large-language-model research. You will collaborate with fellow scientists and engineers to push the state of the art for natural and contextual conversations.

You will work with diverse data sources and compute resources to accelerate AI advances, focusing on Prompt Engineering, Supervised Fine-Tuning, and Human Feedback loops, delivering impact to millions of

Qualifications

• PhD or MS with 4+ years in CS/CE/ML or related field.
• Experience publishing in top-tier venues is preferred.
• Strong programming experience in Java, C++, Python.

Responsibilities

• Collaborate with scientists and engineers to research and develop novel algorithms and modeling techniques.
• Analyze and improve user experiences using large-scale data sources and computing resources.
• Work on core LLM technologies including Prompt Engineering, Supervised Fine-Tuning, and Evaluation.

Skills

3+ years building models

Patents/Publications experience

Algorithms & data structures

Numerical optimization

Data mining

Parallel & distributed computing

High-performance computing

Programming in Java/C++/Python

Education

PhD or Master + 4+ years CS/CE/ML

Tools

Unix/Linux

Professional software development

Job description

Amazon’s CAMEL team in Bellevue is seeking an Applied Scientist to advance conversational AI through novel modeling techniques and large-language-model research. You will collaborate with fellow scientists and engineers to push the state of the art for natural and contextual conversations.

You will work with diverse data sources and compute resources to accelerate AI advances, focusing on Prompt Engineering, Supervised Fine-Tuning, and Human Feedback loops, delivering impact to millions of