Job ID : 2799289 Amazon.com Services LLC
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors?
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customers every day?
Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-art algorithms to solve real-world problems?
If yes, then you may be a great fit to join the Amazon Account Integrity team.
The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts.
Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes.
This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high judgement decision making where we cannot apply automation.
BASIC QUALIFICATIONS
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
- Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience programming in Java, C++, Python or related language
- Communication and data presentation skills
PREFERRED QUALIFICATIONS
- PhD in computer science, computer engineering, or related field
- Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
- 3+ years of building machine learning models or developing algorithms for business application experience
- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Strong communication, writing and data presentation skills
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.
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