About the job
Are you interested in big data, Machine Learning, and building recommendation services using Generative AI? If so, Amazon's Personalization team might be the right place for you.
Responsibilities
- Use AI and machine learning 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, develop and evaluate highly scalable models for predictive learning.
- Work closely with software engineering teams to drive model implementations and new feature creations.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
- Review peer work and provide feedback
Qualifications
Minimum
- 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 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
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience applying theoretical models in an applied environment
- Hold patents and/or published in top-tier AI/ML venues (conferences and/or journals).