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Alexa Connections is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. You will contribute to developing novel solutions and deliver high-quality results that impact Connections products and services.
Job Responsibility:
Analyze, understand, and model customer behavior and the customer experience based on large-scale data
Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants
Fine-tune/post-train LLMs using techniques like SFT, DPO, RLHF, and RLAIF
Set up experimentation frameworks for agile model analysis and A/B testing
Collaborate with partner teams on LLM evaluation frameworks and post-training methodologies
Contribute to end-to-end delivery of solutions from research to production, including reusable science components
Communicate solutions clearly to partners and stakeholders
Contribute to the scientific community through publications and community engagement
Requirements:
4+ 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 in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Nice to have:
Experience in professional software development
PhD in computer science, computer engineering, or related field
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
3+ years of building machine learning models for business application experience