Applied Scientist I Alexa AI
Applied Scientist I Alexa AI
Posted on :
07-04-2025
Employer Active
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 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 crossfunctional 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 fastpaced 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
Experience programming in Java C Python or related language
Experience building machine learning models or developing algorithms for business application
Experience in stateoftheart 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
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 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 crossfunctional 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 fastpaced 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
Experience programming in Java C Python or related language
Experience building machine learning models or developing algorithms for business application
Experience in stateoftheart 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
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.
Employment Type
Full-Time
Key Skills
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