Amazon.com Services LLC
Machine Learning Science, Applied Science, ecp
Sr.AppliedScientist,ClassificationandPolicyPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Applied Scientist, Classification and Policy Platform at Amazon.com Services LLC. Skills: Machine learning, Deep learning, Data processing, Classification. Design and implement features. Implement machine learned models”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
4+ years applied research, 3+ years ML models, PhD or Master's degree, 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning
Nice to Have
Modeling tools experience, Large scale distributed systems experience
What You'll Do.
Design and implement features
Implement machine learned models
Solve search matching problems
Solve ranking problems
Conduct process development
Streamline processes for model development
Expand product insights with data
Determine highest-impact projects
Provide technical guidance
Provide scientific guidance
Create predictive models
Build Amazon scale applications
Process large volumes of data
Derive patterns from data
Derive conclusions from data
How You'll Work.
Team & Collaboration
Backend teams; Client teams; Business development teams; Data engineering teams; Product Managers; Team members; Senior management; Colleagues from science; Colleagues from engineering; Colleagues from business
Communication Scope
Communicating effectively; Effective communication
Process & Methodology
Project management
Full Job Description
Ever wonder how you can keep the world’s largest selection also the world’s safest and legally compliant selection? Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations. The Classification and Policy Platform team is looking for Applied Scientists to build technology to automatically monitor the billions of products on the Amazon platform. The software and processes built by this team are a critical component of building a catalog that our customers trust. You will have an opportunity to work with machine learning algorithms on large datasets. You will need to build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data. We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. As an Applied Scientist on the CPP team, you will be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers. Key job responsibilities Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and apply document understanding Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps Providing technical and scientific guidance to your team members Communicat
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