Amazon.com Services LLC
Web Search
AppliedScientist,AGIInfo
“Applied Scientist, AGI Info at Amazon.com Services LLC. Skills: Information retrieval, NLP, Machine learning. Apply scientific rigor to work. Deliver incrementally”
What You'll Achieve.
Advance state-of-the-art in IR stack; Delight our customers
Industry & Context.
Solve deep technical problems; Failure space analysis
Work safely and cooperatively, Adhere to standards of excellence, Adhere to company policies, Exercise sound judgment, Manage stress, Exhibit trustworthiness and professionalism, Safeguard business operations, Safeguard Company reputation
What They're Looking For.
Must Have
3+ years building models for business application, PhD or Master's degree and 4+ years CS, CE, ML or related field experience, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience building machine learning models or developing algorithms for business application
Nice to Have
Experience using Unix/Linux, Experience in professional software development, PhD in computer science, machine learning, engineering, or related fields, 3+ years building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience, Publications at peer-reviewed conferences, In-depth working knowledge of LLMs
What You'll Do.
Apply scientific rigor to work
Deliver incrementally
Analyze prior experiments
Write reports of experiments
Seek guidance from scientists
Define next experiments
Collaborate with engineers
Bring innovations into production
Continuously with customers and stakeholders
Simplify and adapt to deliver
Develop state-of-the-art web search technology
Train novel retrieval models
Train novel ranking models
Partner with engineering to deploy
Build quality training data sets
Scale quality training data sets
How You'll Work.
Team & Collaboration
Work with smart colleagues; Collaborate closely with engineers; Collaborate with customers and stakeholders; Collaborate with other scientists
Communication Scope
Write clear reports; Communicate effectively
Process & Methodology
Lead execution of multi-year research roadmaps
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