Applied Scientist, Alexa AI
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Job Location:
Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
As an Applied Scientist in the Alexa AI team you will spearhead the advancement and deployment of state-of-the-art ML/RAG systems that revolutionize how millions of customers interact with Alexa. Youll leverage your expertise in machine learning NLP and LLMs to create reliable scalable high-performance products that raise the bar in operational excellence. Working closely with business engineering and science teams across Amazon youll lead high-visibility programs that automate workflows and deliver customer-impacting results through innovative AI solutions.
Key job responsibilities
As an Applied Scientist in the Alexa AI team:
- Youll analyze and model customer behavior at scale building novel metrics for personal digital assistants across diverse devices and endpoints. Your work will involve creating deep learning policy-based learning and machine learning algorithms that directly impact customer experiences translating complex data patterns into actionable insights that drive product innovation.
- Your technical leadership will extend to building and deploying automated model training and evaluation pipelines implementing complex machine learning and deep learning algorithms and conducting rigorous model and data analysis through online A/B testing. Youll research and implement novel approaches that push the boundaries of whats possible in conversational AI.
- Beyond model development youll ensure operational excellence by taking ownership of production systems including on-call responsibilities during peak and non-peak hours. Working alongside Software Development Engineers youll deploy fixes and handle high-severity issues ensuring our ML systems maintain the reliability and performance that millions of Alexa customers depend on daily.
A day in the life
As an Applied Scientist in the Alexa AI team your day will involve collaborating with talented engineers and scientists to build scalable solutions for our conversational assistant. Youll dive into data analysis experiment with novel algorithms and iterate on models based on real-time user feedback. Working in a fast-paced ambiguous environment youll tackle complex technical challengesfrom debugging production issues to presenting research findings to stakeholders. Your self-motivated approach will drive you to swiftly deliver impactful solutions while maintaining the high standards that define our mission to revolutionize user experiences for millions of customers.
About the team
The Alexa AI team develops the intelligence behind one of the worlds most popular voice assistants serving millions of customers globally. Were a diverse group of scientists engineers and researchers united by our mission to make Alexa more natural helpful and delightful. Our culture thrives on innovation collaboration and customer obsession. We tackle some of the most challenging problems in conversational AIfrom natural language understanding to personalization at scale. Here youll work alongside world-class talent publish at top-tier conferences and see your innovations impact customers daily. We move fast think big and celebrate both successes and learnings.
- PhD or a Masters degree and experience in Computer Science Computer Engineering Machine Learning or related field
- Experience building machine learning models or developing algorithms for business application
- Bar raising knowledge of programming languages such as Python or Java with a strong focus on machine learning frameworks
- Experience in any of the following areas: algorithms and data structures algorithms parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 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.
- Several years of building machine learning models or developing algorithms for business application experience
- Have publications at top-tier peer-reviewed conferences or journals
- 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
- Exceptional level of organization and strong attention to detail
- Fluent in written and spoken English
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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 job responsibilities
As an Applied Scientist in the Alexa AI team:
- Youll analyze and model customer behavior at scale building novel metrics for personal digital assistants across diverse devices and endpoints. Your work will involve creating deep learning policy-based learning and machine learning algorithms that directly impact customer experiences translating complex data patterns into actionable insights that drive product innovation.
- Your technical leadership will extend to building and deploying automated model training and evaluation pipelines implementing complex machine learning and deep learning algorithms and conducting rigorous model and data analysis through online A/B testing. Youll research and implement novel approaches that push the boundaries of whats possible in conversational AI.
- Beyond model development youll ensure operational excellence by taking ownership of production systems including on-call responsibilities during peak and non-peak hours. Working alongside Software Development Engineers youll deploy fixes and handle high-severity issues ensuring our ML systems maintain the reliability and performance that millions of Alexa customers depend on daily.
A day in the life
As an Applied Scientist in the Alexa AI team your day will involve collaborating with talented engineers and scientists to build scalable solutions for our conversational assistant. Youll dive into data analysis experiment with novel algorithms and iterate on models based on real-time user feedback. Working in a fast-paced ambiguous environment youll tackle complex technical challengesfrom debugging production issues to presenting research findings to stakeholders. Your self-motivated approach will drive you to swiftly deliver impactful solutions while maintaining the high standards that define our mission to revolutionize user experiences for millions of customers.
About the team
The Alexa AI team develops the intelligence behind one of the worlds most popular voice assistants serving millions of customers globally. Were a diverse group of scientists engineers and researchers united by our mission to make Alexa more natural helpful and delightful. Our culture thrives on innovation collaboration and customer obsession. We tackle some of the most challenging problems in conversational AIfrom natural language understanding to personalization at scale. Here youll work alongside world-class talent publish at top-tier conferences and see your innovations impact customers daily. We move fast think big and celebrate both successes and learnings.
- PhD or a Masters degree and experience in Computer Science Computer Engineering Machine Learning or related field
- Experience building machine learning models or developing algorithms for business application
- Bar raising knowledge of programming languages such as Python or Java with a strong focus on machine learning frameworks
- Experience in any of the following areas: algorithms and data structures algorithms parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 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.
- Several years of building machine learning models or developing algorithms for business application experience
- Have publications at top-tier peer-reviewed conferences or journals
- 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
- Exceptional level of organization and strong attention to detail
- Fluent in written and spoken English
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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