Applied Scientist, Alexa Connected Devices (LLM/NLP)

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance (medical, dental, &off

RSUs

Sign-on payments

401(k) matching

Parental leave

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to advance LLM, NLP, and AI for Alexa Connected Devices. You will develop scalable context-aware conversational models, using Prompt Engineering, Reinforcement and learning techniques to improve user interactions.

Ideal candidates have a PhD or MS with 4+ years in CS/ML, strong coding in Java/C++/Python, and experience with large-scale data and distributed computing. Join a team delivering impact for millions of customers.

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 programming in Java, C++, Python or related language.

Responsibilities

• Collaborate with scientists and engineers to research and develop novel algorithms and modeling techniques.
• Analyze and improve user experiences by leveraging large-scale data and computing resources.
• Work on core LLM technologies: Prompt Engineering, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation.

Skills

Java

C++

Python

Education

PhD or Master''s in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science in Seattle is seeking an Applied Scientist to advance LLM, NLP, and AI for Alexa Connected Devices. You will develop scalable context-aware conversational models, using Prompt Engineering, Reinforcement and learning techniques to improve user interactions.

Ideal candidates have a PhD or MS with 4+ years in CS/ML, strong coding in Java/C++/Python, and experience with large-scale data and distributed computing. Join a team delivering impact for millions of customers.