Applied Scientist II, Alexa International Team
Core
Develop novel algorithms and modeling techniques using Large Language Models (LLMs) and multimodal systems to advance Alexa's international products and services.
Role type
Applied Scientist (LLMs & Multimodal Systems)
Builds
Novel solutions for international digital assistant products and services
Domain
Consumer AI, Large Language Models, Multimodal Systems
Deliverable
production ML models
Required skills
Deep learning, generative models, LLM architectures, LLM evaluation & tooling, machine learning, natural language understanding, numerical optimization, parallel and distributed computing, high-performance computing
Preferred skills
Professional software development, speech recognition, machine translation, natural language processing systems
Technologies
Java, C++, Python, SFT, DPO, RLHF, RLAIF
Responsibilities
Analyze and model customer behavior based on large-scale data; Build online and offline evaluation metrics for multimodal assistants; Fine-tune and post-train LLMs; Set up experimentation frameworks for model analysis and A/B testing; Collaborate on LLM evaluation frameworks; Contribute to end-to-end delivery from research to production; Publish research and engage with the scientific community
