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Applied Scientist II, Alexa AI
Applied Scientist II, Alexa AI
The Applied Scientist II will join the Amazon Alexa AI team in India to prototype, optimize, and deploy machine learning algorithms within Generative AI. This role involves researching and building Proof of Concepts, collaborating on technical AI projects, and documenting methodologies.
About the role
About the Role
The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI.
Key Responsibilities Include
- Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
- Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
- Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.
- Engage in effective technical communication (written & spoken) with coordination across teams.
- 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
- 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
Skills
ML algorithmsGenerative AiAiMLJavaC++PythonAlgorithmsData Structuresparsingnumerical optimizationData MiningParallel ComputingDistributed Computinghigh performance computingUnixLinuxSoftware Development