Applied Scientist I, 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 in computer science statistics or a related field or relevant science experience publications scientific prototypes in lieu of Masters - 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 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 - Papers published in AI ML venues of repute About the team The team works on building Responsible AI alignment techniques for the Large Language Model LLM that drives Alexa We work on recent advances in LLM science including automated prompt optimisation supervised fine tuning Re-inforcement learning model distillation retrieval augmented generation model prompt interpretability and LLM driven data generation The techniques are used to tune a foundational model to align with Alexa s policies on Responsible AI across dimensions of Appropriateness Safety Security Privacy and Fairness We focus on building cross-lingual methods to support 100s of millions of Alexa customers across the world speaking 15 languages A scientist on the team works on the following - a running experiments to evaluate promising ideas to achieve a customer experience goal b Identify a research theme and follow recent advances in the space papers articles c collaborate with other scientists within and outside team to identify a science direction to solve a problem d publish papers in peer-reviewed conferences journals of repute e Collaborate with faculty members in Indian academia e g IIT-B The team s work was part of the Alexa launch announcement https www aboutamazon com news devices new-alexa-generative-artificial-intelligence BASIC QUALIFICATIONS - Experience programming in Java C Python or related language - Experience building machine learning models or developing algorithms for business application - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience researching about machine learning deep learning NLP computer vision data science PREFERRED QUALIFICATIONS - Have publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information If the country region you re applying in isn t listed please contact your Recruiting Partner