ADCI
Applied Science, amazon business
AppliedScientist,TrustworthyShoppingExperience(TSE)
“Applied Scientist, Trustworthy Shopping Experience (TSE) at ADCI. Skills: Generative AI, Agentic AI, Multimodal learning, Deep learning. Contribute to design and development of agentic AI. Automate complex manual investigation processes”
What You'll Achieve.
Guarantee customers worry-free shopping experience; Reduce cost-of-serving; Maintain trust and safety standards; Serve hundreds of millions of customers
Industry & Context.
Solve complex business problems; Troubleshoot issues to root cause; Research root causes; Resolve defects
What They're Looking For.
Must Have
Experience programming in Java, C++, Python, Experience with SQL and an RDBMS, Experience building machine learning models, Experience in deep learning models architecture design, Experience in deep learning training and optimization, Experience in model pruning
Nice to Have
Experience implementing algorithms using toolkits, Experience implementing algorithms using self-developed code, Publications at top-tier peer-reviewed conferences, Publications at top-tier journals, Publications on top-tier conferences (CVPR, ICCV, ECCV, NeurIPS)
What You'll Do.
Contribute to design and development of agentic AI
Automate complex manual investigation processes
Map business goals to scientific problems
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 components
Write production code
Rigorously evaluate models
Handle data in accordance with policies
Troubleshoot issues to root cause
Ensure work does not put company at risk
Participate in team design discussions
Participate in prioritization discussions
Learn business context behind products
Escalate problems with proposed solutions
Publish internal technical reports
Contribute to end-to-end AI development
Design and build expertise agentic AI systems
Productionize large scale models
Enhance Automatic prompt optimization techniques
Improve agentic planning
Build novel production ready Finetuned transformer architectures
Build conventional supervised & unsupervised ML solutions
Identify customer and business problems
Extend state-of-the-art approaches for LLM workflows
Contribute to building production-ready deep learning solutions
Contribute to building conventional ML solutions
and relational understanding
Co-author research papers
Review research submissions
Iterate based on feedback
Deliver small components
Integrate into production-scale systems
Balance model capability
Understand state-of-the-art data structures
Understand algorithms
Understand performance tradeoffs
Evaluate models across modalities
Quantify model performance
Leave systems more maintainable
Participate in team design discussions
Participate in scoping discussions
Participate in prioritization discussions
Seek to learn business context
Seek to learn science behind products
Seek to learn engineering behind products
Understand how multimodal signals contribute to trust and
Participate in engineering best practices
Publish internal technical reports
Institutionalize scientific learning
Help train and mentor scientists
Identify problems with proposed solutions
Escalate problems with proposed solutions
Take ownership of problems
Ensure clear hand-off to owners
How You'll Work.
Team & Collaboration
Working alongside senior scientists; Close partnership with selling partners; Participate in team design discussions; Participate in prioritization discussions; Participate in engineering best practices; Peer code reviews
Communication Scope
Internal technical reports; Peer-reviewed publications; External review activities; Clear verbal communication; Clear written communication; Document design; Communicate design
Process & Methodology
Scoping discussions, Prioritization discussions
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