Amazon.com Services LLC
Machine Learning Science, Applied Science, north america stores
Sr.AppliedScientist,BrandIntelligenceandAgenticAIProgram
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Applied Scientist, Brand Intelligence and Agentic AI Program at Amazon.com Services LLC. Skills: Machine Learning, LLM, Agentic AI, Brand Intelligence. Shape product vision. Provide science strategies”
What You'll Achieve.
Deliver business impact; Assist customers discover brands; Help brand owners reach customers
Industry & Context.
Solve customer-facing problems; Solve large-scale science problems
What They're Looking For.
Must Have
3+ years ML models business application, Master's degree and 3+ years applied research, Programming in Java, C++, Python, Experience neural deep learning methods, Experience machine learning
Nice to Have
Experience with modeling tools, Experience with large scale distributed systems
What You'll Do.
Provide science strategies
Lead scientists design ML solutions
Build machine-learning solutions
Collaborate on customer-facing experiences
Utilize data for experiences
Utilize ML models for experiences
Perform data analysis
Build machine-learning models
Communicate impact to management
Drive scientific innovations
Understand marketing needs
Provide guidance to scientists
Provide guidance to engineers
How You'll Work.
Team & Collaboration
Partner teams; Cross-functional teams
Communication Scope
Communicate impact
Full Job Description
The Brand Intelligence and Agentic AI program represents the voice of customers with respect to brands: brand recognition, reputation, value, quality, and overall appeal. The team as part of Amazon Retail tech org is hiring an experienced Sr. Applied Scientist to guide the team on science strategies, design ML solutions (including the new Agentic AI agents) to solve customer-facing brand shopping challenges at scale, and grow and influence the broader science community. The team uses Machine Learning, Deep Learning, LLM and Agentic AI to derive actionable insights from understanding customer shopping intent and preferences on brands (well recognized brands, premium brands, new and trending brands, relevant top brands matching customer searches, or individual customer-level brand preference), and develop and experiment with ML solutions to deliver business impact. We also start working with marketing team to build AI agents to assist them better in their marketing journey with brands insights and knowledge. We are a science-focused team incubating and building disruptive solutions to solve large-scale shopping recommendation and personalization problems to assist our customers easily discover relevant and valuable brands and selection, as well as to help brand owners being successful to reach promising customers. This is a unique, high visibility opportunity for someone who wants to have direct impact solving customer-facing problems, dive deep into large-scale science problems esp. in the new Agentic AI world, enable measurable actions on the Consumer economy, and work closely with scientists. Key job responsibilities Work with Product and Engineering to shape the product vision and provide forward-looking science strategies. Lead scientists design and build machine-learning and LLM solutions. Collaborate with partner teams on customer-facing search and browse experiences that will utilize the data and ML models to better serve customers' brand shopping experience.
Applying for this Sr. Applied Scientist, Brand Intelligence and Agentic AI Program role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.