Head of AI Science & LLM/VLM Alignment

Amazon; Seattle (WA); On-site; USD 219,000 - 296,000; Full time

Job summary

Amazon.com Services LLC is seeking an experienced leader to manage a team focused on post-training and alignment of LLMs and vision-language models for innovative shopping experiences. You will define the roadmap and drive research directions to enhance customer interactions with our AI shopping assistant.

You will collaborate with scientists, engineers, and product managers to deliver accurate, helpful and fast AI experiences for customers in a rapidly evolving retail landscape, while balancing

Qualifications

• 8+ years of building large-scale machine learning and AI solutions at Internet scale.
• 3+ years of science or engineering team management experience.
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent).
• Experience building large-scale ML/AI solutions at Internet scale.
• Experience distilling informal customer requirements into problem definitions.

Responsibilities

• Lead a team working on LLM and/or VLM post-training and alignment for new shopping experiences.
• Set roadmap and vision for science investments across multiple customer experiences.
• Collaborate with scientists, engineers, and product managers to improve AI shopping assistant.

Skills

Large-scale ML/AI experience

Team management

Requirements distillation

Education

Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)

PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)

Job description

Amazon.com Services LLC is seeking an experienced leader to manage a team focused on post-training and alignment of LLMs and vision-language models for innovative shopping experiences. You will define the roadmap and drive research directions to enhance customer interactions with our AI shopping assistant.

You will collaborate with scientists, engineers, and product managers to deliver accurate, helpful and fast AI experiences for customers in a rapidly evolving retail landscape, while balancing