ADCI
Applied Science, amazon business
AppliedScientist,TrustworthyShoppingExperience(TSE)
“Applied Scientist, Trustworthy Shopping Experience (TSE) at ADCI. Skills: Generative AI, Agentic AI, Multimodal AI. Contribute to design and development of agentic AI. Automate complex manual investigation processes”
What You'll Achieve.
Guarantee customers worry-free shopping experience; Earn customer trust; Reduce cost-of-serving; Maintain trust and safety standards; Serve hundreds of millions of customers
Industry & Context.
Solving complex business problems; Troubleshoot issues; Research root causes; Identify optimal solutions
What They're Looking For.
Must Have
Experience programming in Java, C++, Python or related language, Experience with SQL and an RDBMS or Data Warehouse
Nice to Have
Experience implementing algorithms using toolkits and self-developed code, Publications at top-tier peer-reviewed conferences or journals
What You'll Do.
Contribute to design and development of agentic AI
Automate complex manual investigation processes
Map business goals to scientific problems and metrics
and experiment with solutions
Stay current on research trends
Benchmark results against state of the art
Design and execute experiments
Identify optimal solutions
Initiate development and implementation of small components
and well-documented production code
Rigorously evaluate models
Handle data in accordance with Amazon policies
Troubleshoot issues to root cause
Ensure work does not put company at risk
Participate in team design and prioritization discussions
Learn business context behind TSE products
Escalate problems with proposed solutions
Publish internal technical reports
Contribute to peer-reviewed publications
Contribute to end-to-end AI development
Help productionize models
Apply mathematical optimization techniques
Build production-ready deep learning and ML solutions
Identify customer and business use cases
Develop representations that capture complementary signals
Iterate based on feedback
Deliver small components
Integrate into production-scale systems
Balance model capability
Understand state-of-the-art data structures and algorithms
Understand performance tradeoffs
Evaluate models across individual and combined modalities
Quantify model performance
Research root causes of defects
Seek to learn business context
Participate in engineering best practices
Institutionalize scientific learning
Help train and mentor scientists
Identify and escalate problems
Take ownership or ensure clear hand-off
How You'll Work.
Team & Collaboration
Working alongside senior scientists; Working with senior scientists; Team design discussions; Prioritization discussions; Team guidance
Communication Scope
Internal technical reports; Peer-reviewed publications; External review activities; Clear verbal communication; Clear written communication; Design documentation
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