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.

Responsibilities

• 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, and accurately determine cause and effect relations.
• 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.

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