- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Amazon.com’s Buyer Risk Prevention's (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon. Key job responsibilities As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: Invent, implement, and deploy state of the art machine learning algorithms and systems Build prototypes and explore conceptually new solutions Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams Take ownership of how ML solutions impact Amazon resources and Customer experience Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Research and implement novel machine learning and statistical approaches Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations Please visit https://www.amazon.science for more information Experience using Unix/Linux Experience in professional software development 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

•BE, B tech, Mtech , MCA, Msc , IT, Computer Science, ECE, ELECTRICAL ELECTRONIC ENGIEERING. •A graduate in any field of study. Quantitative fields such as science and engineering preferred but not mandatory •Good familiarity with device testing and the Linux environment •Flexibility and Interest to do repetitive tasks is required •High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential A Device Associate’s primary responsibility is to execute test case instructions and report discrepancies, execution and analysis of automated regressions and track daily execution status using recommended tools and techniques. A DA is also responsible for successful and on time delivery of results Key job responsibilities •Execute test cases prepared for testing Software builds •Perform test case execution and report bugs accurately •Understand testing procedures and guidelines for new builds / releases. •Write Test cases/scenarios for new features/modules •Perform regression and repetitive testing exercises to qualify builds without compromising on quality •Use software tools like dashboards for data capture on a daily basis. •Be comfortable with capturing results, communicating and escalating failures and providing individual status reports. •Raising all failures/doubts related to the execution of test cases in the clarification portal and closing the same as per the SLA’s. •Lab and test farm maintenance •Execute Automated test and analyze the test results. About the team The Amazon Emerging Devices Software (EDS) is part of the Amazon Devices team. We design and engineer high-profile consumer electronics, including the best-selling Echo devices. Our portfolio also includes innovative devices like Amazon Echo buds, Echo Frames and Echo Auto. What will you help us create next? Hands on device testing experience. Knowledge or experience in Embedded - BT, Wifi, etc. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

•BE, B tech, Mtech , MCA, Msc , IT, Computer Science, ECE, ELECTRICAL ELECTRONIC ENGIEERING. •A graduate in any field of study. Quantitative fields such as science and engineering preferred but not mandatory •Good familiarity with device testing and the Linux environment •Flexibility and Interest to do repetitive tasks is required •High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential A Device Associate’s primary responsibility is to execute test case instructions and report discrepancies, execution and analysis of automated regressions and track daily execution status using recommended tools and techniques. A DA is also responsible for successful and on time delivery of results Key job responsibilities •Execute test cases prepared for testing Software builds •Perform test case execution and report bugs accurately •Understand testing procedures and guidelines for new builds / releases. •Write Test cases/scenarios for new features/modules •Perform regression and repetitive testing exercises to qualify builds without compromising on quality •Use software tools like dashboards for data capture on a daily basis. •Be comfortable with capturing results, communicating and escalating failures and providing individual status reports. •Raising all failures/doubts related to the execution of test cases in the clarification portal and closing the same as per the SLA’s. •Lab and test farm maintenance •Execute Automated test and analyze the test results. Hands on device testing experience. Knowledge or experience in Embedded or Multimedia testing 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience analyzing both experimental and observational data sets Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for talented Research scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced, fun environment. A Research Scientist is responsible for solving inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning and advanced clustering. An ideal candidate should have strong depth and breadth knowledge in machine learning, data mining and statistics. Traffic quality systems process billions of ad-impressions and clicks per day, by leveraging cutting-edge open source technologies like Spark, Redis and Amazon's cloud services like EC2, S3, EMR, DynamoDB and RedShift. The candidate should have reasonable programming and design skills to manipulate unstructured and big data and build prototypes that work on massive datasets. The candidate should be able to apply business knowledge to perform broad data analysis as a precursor to modeling and to provide valuable business intelligence. Knowledge of R, MATLAB, Python or similar scripting language Experience with agile development Experience building web based dashboards using common frameworks 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.