Description Amazon is investing heavily in building a world class advertising business and we work to improve Amazon performance for brand advertisers by providing them with actionable retail+ads analytics. We also deliver retail+ads information services enabling Amazon partner teams to provide brands with automated campaign management experiences. You will be working on building out our Fraud Detection and Verifications system. You will be become an expert in a variety of ML techniques, coming up with innovative solutions to restrict abusive actors, while maintaining friction-free advertising for good customers. As an Applied Scientist you will work with business leaders, engineers, and scientists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed solutions. You will develop science products and internal tooling to drive new product development decisions and interventions to improve existing products. Current research areas include entity resolution, generative AI, large language models, and product substitutes. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale science problems, enable measurable actions and work closely with scientists and engineers. If you are interested in Machine Learning, Generative AI, and large-scale intelligent solutions then this is the role you have been looking for. We are a highly motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. This is an opportunity to make a significant impact on the future of the Amazon vision in the Advertising business. A successful candidate will have the satisfaction of seeing their work on the Amazon.com website and numerous other websites, where it will be viewed by tens of millions of customers and will drive quantifiable revenue impact, broaden their technical skills and work in an environment that thrives on creativity, experimentation, and product innovation. A role with direct impact on the success of advertising at Amazon. Key job responsibilities * You will take the lead on large projects that span multiple teams. The problems you solve will be ambiguous, requiring both technical and domain expertise. You will deliver significant benefits to business. * You need to understand challenges in your teams’ business area, the applicability of relevant machine learning disciplines, and interactions among systems. You will influence your team’s technical and business strategy by making insightful contributions to team priorities and approach. * You will make solutions simpler. You will optimize connected systems using their dynamics. You will improve the consistency and integration between your team’s solutions and the work being done by related teams. * You will improve the work done by others, either via a collaborative effort or by increasing their scientific knowledge, using specialized tools or advanced techniques. You will lead and actively participate in scientific reviews for your team and others. * You are able to communicate your ideas effectively to achieve the right outcome for your team and customer including when to make appropriate trade-offs. You harmonize discordant views and lead the resolution of contentious issues. * You actively participate in the hiring process and improve the skills and knowledge of others via mentoring. Basic Qualifications - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application 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 Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. 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 $223,400/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.