Senior AI Science Manager - Shopping Experience (LLM/VLM)

Socket.dev

Seattle (WA)

On-site

USD 219,000 - 296,000

Full time

14 days+
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Job summary

Amazon is seeking a leader to manage a team focused on Large Language Model and Vision-Language Model post-training and alignment for new shopping experiences. You will set the roadmap and vision for science investments across multiple customer experiences to deliver the most helpful AI shopping assistant.

You’ll collaborate with scientists, engineers, and product managers to innovate for customers and help shape the future of AI-powered commerce.

Qualifications

  • 8+ years of building large-scale ML/AI solutions at Internet scale.
  • 3+ years of science or engineering team management.
  • Master's degree in Computer Science (ML, AI, Statistics, or equivalent)
  • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
  • 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
  • 5+ years of science or engineering team management experience
  • PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
  • Experience in practical work applying ML to solve complex problems for large scale applications
  • Experience in LLM post-training (SFT and RL) a plus

Responsibilities

  • Lead a team focused on LLM/VLM post-training and alignment.
  • Set roadmap and vision for science investments across new customer experiences.
  • Collaborate with scientists, engineers, and product managers to innovate for customers.
  • Deliver the most helpful, accurate, and fast AI shopping experiences.

Skills

8+ years ML at Internet scale
Science/Engineering team leadership
Requirement distillation
ML solution building

Education

Master's degree in Computer Science (ML/AI/Statistics)
PhD in Computer Science (ML/AI/Statistics)

Job description

Amazon is seeking a leader to manage a team focused on Large Language Model and Vision-Language Model post-training and alignment for new shopping experiences. You will set the roadmap and vision for science investments across multiple customer experiences to deliver the most helpful AI shopping assistant.

You’ll collaborate with scientists, engineers, and product managers to innovate for customers and help shape the future of AI-powered commerce.

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