Applied Scientist II, Alexa AI

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:

– 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.

– Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.

– 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

– Comfortable working in a fast paced, highly collaborative, dynamic work environment

BASIC QUALIFICATIONS

– 3+ years of building models for business application 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

– Knowledge of standard speech and machine learning techniques

PREFERRED QUALIFICATIONS

– Experience using Unix/Linux

– Experience in professional software development

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