Applied Scientist, AGI Vertical Services Long-form Experience (LFX) team
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Job Summary
Come join us! LFX team sits at the boundary of state-of-the-art speech models and a maturing AI-first product for an industry leader.
We are looking for a passionate talented and inventive Scientist with a strong background in Machine/Deep Learning to join us. If youre looking for novel and unique challenges this position is for you. If you want to create a whole new customer experience with your research expertise this position is for you. If you enjoy a collaborative and multicultural environment this position is for you.
As a applied scientist you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken word technology. Your work will directly impact our customers and change the landscape of voice technologies. You will be able to leverage our unique data sources and uniquely cross-functional team structure to experiment and iterate fast.
Responsibilities:
- Engage in state-of-the-art and innovative research in areas such as Speech Generation Gen AI model compression and knowledge distillation
- Train custom Speech Generation and Gen AI models that beat the state-of-the-art and paves path for developing production models
- Collaborate with engineers to design and implement solutions for science problems
- Contribute to the Amazon and broader research communities by producing publications
- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in building machine learning models for business application
- Knowledge of standard speech and machine learning techniques
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Experience in professional software development
- Experience in designing experiments and statistical analysis of results
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
We are looking for a passionate talented and inventive Scientist with a strong background in Machine/Deep Learning to join us. If youre looking for novel and unique challenges this position is for you. If you want to create a whole new customer experience with your research expertise this position is for you. If you enjoy a collaborative and multicultural environment this position is for you.
As a applied scientist you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken word technology. Your work will directly impact our customers and change the landscape of voice technologies. You will be able to leverage our unique data sources and uniquely cross-functional team structure to experiment and iterate fast.
Responsibilities:
- Engage in state-of-the-art and innovative research in areas such as Speech Generation Gen AI model compression and knowledge distillation
- Train custom Speech Generation and Gen AI models that beat the state-of-the-art and paves path for developing production models
- Collaborate with engineers to design and implement solutions for science problems
- Contribute to the Amazon and broader research communities by producing publications
- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in building machine learning models for business application
- Knowledge of standard speech and machine learning techniques
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Experience in professional software development
- Experience in designing experiments and statistical analysis of results
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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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