Senior Applied Scientist Alexa AI
Senior Applied Scientist Alexa AI
Posted on :
07-04-2025
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1 Vacancy
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Job Description
The Amazon Alexa AI team in India is seeking a talented selfdriven 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 crossfunctional 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 oncall activities for critical issues
Basic Qualifications:
Masters or PhD in computer science statistics or a related field
5 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 crossfunctional 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 fastpaced environment.
Exceptional level of organization and strong attention to detail
Comfortable working in a fast paced highly collaborative dynamic work environment
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 Reinforcement 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 Alexas policies on Responsible AI across dimensions of Appropriateness Safety Security Privacy and Fairness. We focus on building crosslingual 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 peerreviewed conferences & journals of repute; e) Collaborate with faculty members in Indian academia (e.g. IITB).
The teams work was part of the Alexa launch announcement: 5 years of building machine learning models for business application experience
PhD or Masters degree
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Do you have publications at toptier peerreviewed 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 youre applying in isnt listed please contact your Recruiting Partner.
Key responsibilities include:
Research experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
Collaborate with crossfunctional 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 oncall activities for critical issues
Basic Qualifications:
Masters or PhD in computer science statistics or a related field
5 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 crossfunctional 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 fastpaced environment.
Exceptional level of organization and strong attention to detail
Comfortable working in a fast paced highly collaborative dynamic work environment
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 Reinforcement 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 Alexas policies on Responsible AI across dimensions of Appropriateness Safety Security Privacy and Fairness. We focus on building crosslingual 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 peerreviewed conferences & journals of repute; e) Collaborate with faculty members in Indian academia (e.g. IITB).
The teams work was part of the Alexa launch announcement: 5 years of building machine learning models for business application experience
PhD or Masters degree
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Do you have publications at toptier peerreviewed 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 youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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