Applied Scientist II - Performance Advertising, Amazon

Amazon Advertising is among the fastest expanding and most profitable sectors of Amazon. The core offering within our advertising collection, Sponsored Products (SP), assists merchants, retail vendors, and brand owners in succeeding through native advertising, which boosts incremental sales of their products that are sold via Amazon. The fundamental objectives of the SP team are to aid shoppers in discovering new products they like, to provide the most effective method for advertisers to meet their business targets, and to establish a viable business that continuously innovates for the benefit of customers. Our products and solutions are strategically significant in enabling our Retail and Marketplace ventures to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break new ground in product and technical innovations daily! Sponsored Products assists merchants, retail vendors, and brand owners in thriving via native advertising that boosts incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product concentration. Our systems and algorithms operate on one of the world's largest product catalogs, pairing shoppers with products - with a high relevance bar and strict latency constraints. Our targets are to assist buyers in discovering new products they love, to provide the most efficient method for advertisers to achieve their business goals, and to establish a major, sustainable business that helps Amazon continuously innovate on behalf of all consumers. The Senior Applied Scientist for the Sponsored Products Detail Page Allocation and Pricing team is responsible for the systems that make the final call on which ads to display, where to place them on the page, and how many ads to place. This also includes the selection of various themes that would appear in detail pages. This is a challenging technical and business problem which requires us to balance the interests of advertisers, shoppers, and Amazon. You will develop a data-driven product strategy to define the accurate quantitative measures of shopper impact, using this to evaluate decisions and opportunities. You'll manage a portfolio of pragmatic and long-term investments to drive the extended growth of the ads and retail businesses. As a Senior Applied Scientist on this team you will: - Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. - Develop real-time algorithms to allocate billions of ads per day in advertising auctions. - Lead technical initiatives within this team and across other groups. - Construct machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production. - Conduct A/B experiments, gather data, and perform statistical analysis. - Develop scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving. - Collaborate closely with software engineers to assist in making your ML models production-ready. - Research new machine learning approaches. - Recruit Applied Scientists to the team and act as a mentor to other Scientists in the team. In this position, you will have considerable impact on this team as well as drive cross-team projects that comprise Applied Scientists, Data Scientists, Economists, and Software Development Engineers. This is a highly conspicuous role that will aid in elevating our products to the next level. You will work alongside many of the best and brightest in science and engineering, and the work you deliver will have a direct impact on customers and revenue! Why you'll love this opportunity: Amazon is heavily investing in establishing a first-rate advertising business, and we are accountable for defining and delivering an assortment of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace ventures driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to establish world-class products. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and predilection for action. We are growing at an unprecedented rate with an apparently endless range of new opportunities. We are hiring candidates to work from one of the following locations: Palo Alto, CA, USA Basic Qualifications: - 3+ years of experience in building models for business applications - PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience - Proficiency in 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: - Proficiency in using Unix/Linux - Professional software development experience Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or other legally protected status. Individuals with disabilities who would like to request accommodations can visit this link: https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base salary ranges from $136,000 annually in our lowest geographic market to $222,200 annually in our highest geographic market. Pay is based on various factors including the market location and may vary depending on job-related knowledge, skills, and experience. Amazon provides total compensation benefits. Depending on the position, equity, sign-on payments, and other forms of compensation may be included in the total compensation package in addition to a comprehensive range of medical, financial, and/or other benefits. For additional information, please visit: https://www.aboutamazon.com/workplace/employee-benefits. Candidates should apply through our internal or external career site.