DescriptionDo 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 customer every day?
Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems?
Do you like to innovate and simplify? 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.
Please visit for more informationBasic QualificationsPhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingExperience programming in Java, C++, Python or related languageCommunication and data presentation skillsPreferred QualificationsPhD in computer science, computer engineering, or related fieldHave publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS3+ years of building machine learning models or developing algorithms for business application experience3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experienceStrong communication, writing and data presentation skillsAmazon 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 Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees, supervisors, and staff;
- adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service;
and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 $222,200 / 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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