onsite
Applied Scientist, Trust CX Innovations & AI Policy - Amazon.com
Software Engineer
Applied Scientist leading research on trust‑preserving generative AI solutions for Alexa+, focusing on privacy‑safe machine learning, large language model optimization, and policy‑driven AI innovation.
About the role
Key Responsibilities
- Design and execute research projects that embed trust and privacy safeguards into generative AI models for Alexa+.
- Develop novel machine‑learning algorithms and evaluation frameworks to assess model bias, robustness, and data leakage.
- Collaborate with product, policy, and security teams to translate research outcomes into production‑ready features.
- Publish findings in top‑tier conferences and internal knowledge bases, influencing AI policy and best practices.
- Mentor junior scientists and contribute to the technical roadmap for AI trust and privacy initiatives.
Requirements
- Ph.D. or equivalent experience in Computer Science, Machine Learning, or a related field with a focus on generative AI.
- Proven track record of research in trust‑preserving or privacy‑enhancing machine‑learning techniques.
- Strong programming skills in Python and experience with large‑scale model training frameworks (e.g., PyTorch, TensorFlow).
- Deep understanding of large language models, bias mitigation, and data protection regulations.
- Excellent communication skills to convey complex technical concepts to cross‑functional stakeholders.
Skills
generative aimachine learningpython