Applied Scientist, Conversational AI ModEling and Learning

Amazon Lab126

Amazon Lab126 is a leading innovator within the Amazon Devices organization, focusing on building advanced Conversational AI technologies. The CAMEL team spearheads efforts to create intelligent, responsive AI solutions powered by state-of-the-art Large Language Models. This role aims to enhance the user experience across millions of customers by developing scalable, context-aware AI capabilities.

In this role you can expect to have the responsibilities:

• Collaborate with scientists and engineers to create novel algorithms for conversational AI
• Utilize Amazon's data and computing resources to enhance AI advancements
• Develop core LLM technologies, including Prompt Engineering and Optimization
• Improve user experience through AI-driven product innovations

This role comes with the following benefits:

• Diverse and inclusive workplace

This role requires you to have:

• PhD or Master's with 2+ years in ML model development
• Experience in programming languages like Java, C++, Python
• Solid understanding of ML, NLU, NLG, and LLM techniques

You would benefit from having:

• Experience in conversational AI and NLP systems
• Published research in renowned NLP/ML conferences
• Experience with large scale distributed systems like Hadoop and Spark

Amazon prioritizes a diverse and inclusive environment, offering equal employment opportunities regardless of personal characteristics. Disability accommodations are provided for the hiring process.