Job Information
Amazon Senior Applied Scientist, Digital and Emerging Payments in Seattle, Washington
Description
Do you want to use your expertise in translating innovative science into impactful products to develop innovative payment methods for emerging markets? If you do, Emerging Stores Payments team would love to talk to you about how to make that a reality.
We, at Digital & Emerging Payments (DEP) focus on reaching communities and geographies that do not have access to Amazon’s superior selection of products and prices due to payment barriers. Our challenge in these untapped markets is to be able to offer compelling and creative payment solutions that remove such barriers in these markets. And we play our part in financial inclusion.
There is no dearth of science & engineering problems to solve either as the number of such markets constitutes 80% of the countries in the world and 85% of the world’s population.
As an applied scientist on our team, you will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, and engineers on the design, development, testing, and deployment of scalable ML models.
This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength.
Key job responsibilities
As a Sr. Applied Scientist, you will:
Lead applied scientists to deliver machine-learning and AI solutions to production.
Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers
Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
Partner with the engineering team to deploy your models in production.
Partner with scientists from across ML teams (India Consumer Payments, WI/Consumer Payments etc.) to solve complex problems.
Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.
Mentor and develop junior scientists and developers.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
3+ years of building machine learning models or developing algorithms for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Knowledge of programming languages such as C/C++, Python, Java or Perl
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience using Generative AI and LLMs to build solutions for business automation.
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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.