Join Amazon’s CAMEL team as an Applied Scientist specializing in Conversational AI. Drive innovation in Large Language Models to enhance natural user interactions and create impactful solutions. The role focuses on research and development in artificial intelligence, specifically involving LLMs, Natural Language Processing, and Recommender Systems.

You will collaborate with a team of skilled applied scientists and engineers to develop algorithms that optimize contextual conversations. Your expertise in machine learning and passion for delivering customer-focused innovations will play a critical role in shaping our AI technologies. Key Responsibilities:

- Develop novel algorithms for conversational AI solutions
- Analyze user data to enhance experience and engagement




- Work on core LLM technologies and optimization techniques
- Collaborate with engineers to implement scalable AI solutions
- Iterate on user feedback for continuous improvement Requirements:
- 3+ years in building models for business applications
- PhD or Master’s with 4+ years in CS or related field
- Proficient in Java, C++, or Python
- Experience in algorithms, data structures, or computing
- Qualified coding experience in software development Make an impact by utilizing your skills to advance Amazon's conversational AI technologies.

📌 Applied Scientist in Conversational AI at Amazon (Toronto)
🏢 Socket.dev
📍 Toronto