Amazon.com Services LLC
Technology
AppliedScienceManager,FireTVScience
“Applied Science Manager, Fire TV Science at Amazon.com Services LLC. Skills: Language Understanding, Machine Learning, Recommender Systems. Lead Language Understanding sub-team. Own query understanding components”
What You'll Achieve.
Deliver lasting customer benefit; Ensure high-impact outcomes
Industry & Context.
Address technical challenges; Resolve domain conflicts
Regular travel between sites
What They're Looking For.
Must Have
4+ years management experience, Knowledge of ML, Knowledge of NLP, Knowledge of Information Retrieval, Knowledge of Analytics
Nice to Have
PhD Preferred, Experience building ML models, Experience developing algorithms, Knowledge of deep learning, Knowledge of machine learning, Knowledge of statistics, Experience delivering results, Experience hiring scientists, Experience leading scientists, Experience developing junior members, Experience communicating complex concepts, Experience leveraging GenAI techniques, Experience leveraging GenAI models
What You'll Do.
Lead Language Understanding sub-team
Own query understanding components
Own query understanding models
Lead a team of scientists
Foster professional development
Foster technical growth
Establish research vision
Execute research vision
Collaborate with Search workstreams
Collaborate with Recommendations workstreams
Contribute to cross-functional initiatives
Expand technical influence
Design scalable solutions
Address technical challenges
Deliver customer benefit
Prioritize workstreams
Drive adoption of approaches
Stay at forefront of advances
Conduct model evaluations
Review model evaluations
Interface with Alexa team
Resolve domain conflicts
Brainstorm with leads
Prototype query understanding approaches
Prioritize production issues
Engage with engineering partners
Engage with product partners
Challenge the status quo
Identify automation opportunities
Stay current with NLU research
How You'll Work.
Team & Collaboration
Cross-functional initiatives; Search workstreams; Recommendations workstreams; Engineering partners; Product partners; Alexa central team
Communication Scope
Written communication; Verbal communication
Process & Methodology
Prioritize workstreams, Balance workstreams
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