Applied FinTech Innovator at Amazon
1 day ago
About the Role
Amazon's FinTech organization is seeking an exceptional Senior Applied Scientist to spearhead the development of cutting-edge Generative AI applications that redefine the financial services industry.
Key Responsibilities
You will harness the transformative power of Large Language Models (LLMs) and multi-agent architectures to drive disruptive innovation across Finance domains such as fraud prevention, financial forecasting, and insurance. Your products will have hundreds of millions of dollars of impact.
Collaboration and Leadership
You will collaborate closely with cross-functional business and engineering teams to identify and deliver high-impact use cases for Generative AI. You will design, develop, and evaluate Generative AI models and agents. You will mentor and develop junior scientists and engineers, fostering a culture of continuous learning and improvement.
Publishing and Community Engagement
You will contribute to the broader research community by publishing your work in peer-reviewed conferences and journals. This will enable you to maintain a reputation as a published thought leader and practitioner in the field.
Work/Life Balance
We value work-life 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, there's nothing we can't achieve in our careers.
Qualifications
To be successful in this role, you must have:
- A PhD, or Master's 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
Benefits
We offer competitive salaries and benefits packages to support your career growth and well-being.
Estimated salary range: $250,000 - $400,000 per year, depending on qualifications and experience.
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