Applied Scientist - Large Language Models - Alexa

Key Responsibilities

• Design and implement novel NLP algorithms and architectures for large‑scale conversational systems.
• Train, fine‑tune, and evaluate Large Language Models using frameworks such as PyTorch and TensorFlow.
• Collaborate with software engineers to integrate models into production pipelines and ensure reliable, low‑latency inference.
• Conduct end‑to‑end experiments, from data preprocessing and model ideation through to deployment and monitoring.
• Publish research findings internally and contribute to the scientific community through papers and presentations.

Requirements

• PhD or equivalent experience in Computer Science, Machine Learning, or a related field with a focus on NLP.
• Strong programming skills in Python and hands‑on experience with deep‑learning libraries (PyTorch, TensorFlow).
• Proven track record of building and scaling Large Language Models for real‑world applications.
• Experience deploying ML models on cloud platforms, preferably AWS, and optimizing for production performance.
• Excellent problem‑solving abilities and the ability to work cross‑functionally with research and engineering teams.