Applied Scientist, International Machine Learning
4 days ago
If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
Major responsibilities
- Use machine learning and analytical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
- Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
- Research and implement novel machine learning and statistical approaches
- Work closely with software engineering teams to drive real-time model implementations and new feature creations
- Work closely with business owners and operations staff to optimize various business operations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Mentor other scientists and engineers in the use of ML techniques
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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