Amazon
Applied Scientist-LLM, Amazon
Amazon, Bellevue, Washington, us, 98009
Do you want to be part of the team developing the future technology that impacts the customer experience of ground-breaking products? Then come join us and make history.
We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, and NLP, to help build LLM solutions for Amazon core shopping.
Our team works on a variety of projects, including state of the art generative AI, LLM finetuning, alignment, prompt engineering, and benchmarking solutions.
Key Job Responsibilities
As an Applied Scientist, you will be expected to work on state of the art technologies which will result in paper publications. However, you will not be only theorizing about the algorithms; you will also have the opportunity to implement them and see how they behave in the field.
This is an incredible opportunity to validate your research on one of the most exciting Amazon AI products, where assumptions can be tested against real business scenarios and supported by an abundance of data.
Minimum Requirements
Experience programming in Java, C++, Python, or related language.Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.Advanced degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field.Experience implementing algorithms using both toolkits and self-developed code.Have publications at top-tier peer-reviewed conferences or journals.Experience in LLM finetuning, pretraining, testing, and prompt engineering.Experience building machine learning models or developing algorithms for business applications.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Amazon Disability Accommodation .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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
Amazon Employee Benefits .
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr
We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, and NLP, to help build LLM solutions for Amazon core shopping.
Our team works on a variety of projects, including state of the art generative AI, LLM finetuning, alignment, prompt engineering, and benchmarking solutions.
Key Job Responsibilities
As an Applied Scientist, you will be expected to work on state of the art technologies which will result in paper publications. However, you will not be only theorizing about the algorithms; you will also have the opportunity to implement them and see how they behave in the field.
This is an incredible opportunity to validate your research on one of the most exciting Amazon AI products, where assumptions can be tested against real business scenarios and supported by an abundance of data.
Minimum Requirements
Experience programming in Java, C++, Python, or related language.Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.Advanced degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field.Experience implementing algorithms using both toolkits and self-developed code.Have publications at top-tier peer-reviewed conferences or journals.Experience in LLM finetuning, pretraining, testing, and prompt engineering.Experience building machine learning models or developing algorithms for business applications.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Amazon Disability Accommodation .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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
Amazon Employee Benefits .
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr