Amazon.com Services LLC
Software Development, Applied Science, ecp
AppliedScientistIII,RelationshipDataServices
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Scientist III, Relationship Data Services at Amazon.com Services LLC. Skills: Machine learning, Statistical modeling, Large language models, Data science. Understand business problem and data. Identify statistical, ML, Generative AI techniques”
Industry & Context.
Modeling complex problems; Discovering insights
What They're Looking For.
Must Have
4+ years applied research, 3+ years ML models business application, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning
Nice to Have
Experience with R, Experience with scikit-learn, Experience with Spark MLLib, Experience with MxNet, Experience with Tensorflow, Experience with numpy, Experience with scipy, Experience with Hadoop, Experience with Spark
What You'll Do.
Understand business problem and data
Generative AI techniques
Advance analytics techniques
Understand data availability and acquisition
Facilitate permissions and data acquisition
Lead adoption of Gen AI and ML-based approaches
Generate metrics at scale
Build production ready advanced analytics solutions
Drive effective business decisions
Communicate complex thinking
How You'll Work.
Team & Collaboration
Multiple engineering teams; Partner teams
Communication Scope
Communicate complex thinking
Full Job Description
Want to solve the hardest problems in e-commerce, allowing customers to discover what they are looking for from billions of catalog items? Interested in using LLMs at scale to improve Amazon's search experience and detail page? Want to operate on world's largest catalog to help our customers across the planet to discover relevant products within seconds? Item Relationships Platform is core to Amazon websites, mobile apps, Alexa, and physical stores serving millions of requests per second at single-digit millisecond latency. We provide accurate product details and related product sets to power shopping experiences. Our team owns highly available distributed micro-services, Machine-learning and rule-based validation systems, data stores containing billions of records, and software systems that make product data and related product sets available across Amazon. Your responsibilities as an Applied Scientist include modeling complex problems, discovering insights, and building algorithms using statistical models, machine learning and large language models to enhance the quality of Amazon’s product catalog. You will work alongside with multiple engineering teams to scale the machine learning solutions to fit Amazon Catalog scale of terabytes of data that is changing at a rapid speed. We are seeking an innovative and technically strong Applied Scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and eve
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