Applied Scientist FinTech ATARI
Applied Scientist FinTech ATARI
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
At Amazons FinTech organization we are looking for an Applied Scientist to spearhead the development of Generative AI applications that will redefine the financial services industry. You will harness the transformative power of Large Language Models (LLMs) and multiagent architectures to drive disruptive innovation across Finance domains such as fraud prevention financial forecasting and insurance. Because of our scale your products will have hundreds of millions of dollars of impact.
Key job responsibilities
As an Applied Scientist on our team you will be responsible for the research design development and evaluation of Generative AI models and agents. You will play a critical role in driving the development of LLMbased multiagent architectures that automate complex workflows to delight our customers. You will handle Amazonscale use cases with significant impact on our customers experiences. You will collaborate closely with crossfunctional science engineering and business partners to identify and deliver highimpact use cases for Generative AI. You will contribute to the broader research community by publishing your work in peerreviewed conferences and journals.
Check out this AWS Blog for some of our recent work in LLMs for financial application: PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in solving business problems through machine learning data mining and statistical algorithms
1 years of building models for business application experience
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience developing and implementing deep learning algorithms particularly with respect to natural language processing
Track record of publications in toptier machine learning conferences or journals
Excellent communication skills solid work ethic and a strong desire to write productionquality code.
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.
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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Key job responsibilities
As an Applied Scientist on our team you will be responsible for the research design development and evaluation of Generative AI models and agents. You will play a critical role in driving the development of LLMbased multiagent architectures that automate complex workflows to delight our customers. You will handle Amazonscale use cases with significant impact on our customers experiences. You will collaborate closely with crossfunctional science engineering and business partners to identify and deliver highimpact use cases for Generative AI. You will contribute to the broader research community by publishing your work in peerreviewed conferences and journals.
Check out this AWS Blog for some of our recent work in LLMs for financial application: PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in solving business problems through machine learning data mining and statistical algorithms
1 years of building models for business application experience
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience developing and implementing deep learning algorithms particularly with respect to natural language processing
Track record of publications in toptier machine learning conferences or journals
Excellent communication skills solid work ethic and a strong desire to write productionquality code.
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.
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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Key Skills
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