Amazon.com Services LLC
Technology
AppliedScienceManager,GenAIEvaluationMedia(GEM)
“Applied Science Manager, GenAI Evaluation Media (GEM) at Amazon.com Services LLC. Skills: Computer vision, Generative AI, Machine learning, Applied AI research. Drive technical vision and roadmap. Align with business goals”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
3+ years scientists or machine learning engineers management experience, PhD in computer science, machine learning, engineering, or related fields, Master's degree in related field with 8+ years of industry experience, Experience hiring, developing, and managing high-performing technical teams, Experience building complex software systems, especially involving generative AI, machine learning and computer vision, that have been successfully delivered to customers
Nice to Have
Experience building machine learning models or developing algorithms for business application, Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers, Experience in e-commerce, retail or advertising, Experience understanding needs of business and end customers and translating them into right solutions, Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization, Experience developing, deploying and managing AI products at scale
What You'll Do.
Drive technical vision and roadmap
Align with business goals
Align with customer needs
Lead development of core science primitives
Design visual agentic systems
Balance visual quality
Establish success criteria
Ensure rigorous validation
Lead and develop team
Foster culture of scientific excellence
Foster culture of innovation
Foster culture of customer obsession
Mentor future technical leaders
Grow future technical leaders
Partner with multiple teams
Facilitate knowledge sharing
Drive development of scalable agentic systems
Drive deployment of scalable agentic systems
Own end-to-end delivery
Establish scientific standards
Maintain scientific standards
Establish engineering standards
Maintain engineering standards
Stay current with ML/AI advances
Identify opportunities to apply ML/AI
Guide technical direction
Maintain practical focus on customer value
Partner with product teams
Partner with engineering teams
Deliver customer-facing features
Drive alignment on technical approaches
Drive alignment on resource allocation
How You'll Work.
Team & Collaboration
Cross-team collaboration; Partner with stakeholders; Cross-functional teams
Process & Methodology
Roadmap planning
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