Senior Applied Scientist, Artificial General Intelligence Data Services
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Job Location:
Boston, NH - USA
Yearly Salary:
$ 150400 - 260000
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
AI is the most transformational technology of our time capable of tackling some of humanitys most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction training and evaluating models and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams including product managers language engineers and other scientists.
Key job responsibilities
Specifically the Applied Scientist will:
Ensure quality of speech/language/other data throughout all stages of acquisition and processing including data sourcing/collection ground truth generation normalization transformation cross-lingual alignment/mapping etc.
Clean analyze and select speech/language/other data to achieve goals
Build and test models that elevate the customer experience
Collaborate with colleagues from science engineering and business backgrounds
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- 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 scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction training and evaluating models and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams including product managers language engineers and other scientists.
Key job responsibilities
Specifically the Applied Scientist will:
Ensure quality of speech/language/other data throughout all stages of acquisition and processing including data sourcing/collection ground truth generation normalization transformation cross-lingual alignment/mapping etc.
Clean analyze and select speech/language/other data to achieve goals
Build and test models that elevate the customer experience
Collaborate with colleagues from science engineering and business backgrounds
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- 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 scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
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