Amazon Applied Scientist II Amazon Generative Intelligence AGI 

India, Karnataka 

253052058

Key responsibilities include:- Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.- Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.- Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.
- Publish research papers in internal and external venues of repute
- Support on-call activities for critical issues
Basic Qualifications:- Master’s or PhD in computer science, statistics or a related field
- 2-7 years experience in deep learning, machine learning, and data science.
- Proficiency in coding and software development, with a strong focus on machine learning frameworks.
- Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.- Papers published in AI/ML venues of repute
Preferred Qualifications:- Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- The motivation to achieve results in a fast-paced environment.
- Exceptional level of organization and strong attention to detail

- 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

- Experience using Unix/Linux
- Experience in professional software development