drjobs Senior Applied Scientist FinTech ATARI

Senior Applied Scientist FinTech ATARI

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Jersey City - USA

Yearly Salary drjobs

$ 150400 - 260000

Vacancy

1 Vacancy

Job Description

At Amazons FinTech organization we are seeking a Senior Applied Scientist to spearhead the development of cuttingedge 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.

You will collaborate closely with crossfunctional business and engineering teams to identify and deliver highimpact use cases for Generative AI. You will design develop and evaluate Generative AI models and agents. You will partner with engineering teams to ensure seamless model deployment and integration into production systems while also driving continued scientific innovation as a published thought leader and practitioner.

You will mentor and develop junior scientists and engineers fostering a culture of continuous learning and improvement. 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: Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in our careers.


PhD or Masters degree and 6 years of applied research experience
5 years of building machine learning models for business application 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 scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Track record of publications in toptier machine learning conferences or journals

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 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.


Required Experience:

Senior IC

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.