Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks every day and break fresh ground in product and technical innovations!
Amazon Demand Side Platform (ADSP) within Amazon Ads uses advanced algorithms and trusted data to automatically place relevant ads that drive sales for advertisers while creating a positive user experience. It is the middleman between advertisers and impression exchanges trading ad impressions via real time bidding. The goal of the algorithms is to optimally manage an advertiser's marketing budget.
The ADSP Systems & Control Tiger (S&C) team within ADSP provides an expertise in algorithms, software, and data; and is charged to make system improvements near and far for the benefit of Amazon Demand Side Platform (ADSP). The majority of improvements are state-of-the-art and all improvements are based on sound system engineering principles. Solutions are implemented in collaboration with partner teams, by partner teams under the guidance of the S&C team, or by the S&C tiger team alone. Improvements involve feedback control algorithms, machine learning, statistical inference, and software development. The work is high-impact and deals with the most challenging scientific problems within ad tech.
Key job responsibilities
You will play an important role in advancing ADSP by developing new or improving old capabilities of the ADSP bidding engine. The solutions you develop will require careful attention to mathematics, data science, simulations, experimentation, and hypothesis testing. You will leverage the latest advances in feedback control engineering, machine learning, online optimization, nonlinear dynamics, bidding, and statistical inference, to name a few. You will develop mathematical models based on empirical data and first principles; and you will design, analyze, and test feedback and prediction algorithms to improve the bidding on impressions. As a well-rounded scientist, you will be involved in all steps necessary to develop optimization capabilities. This includes some amount of interaction with customers, a lot of science work, and a modest amount of software development.
You hold an MS or PhD degree in feedback control, signal processing, operations research, or related fields; and you have a strong working knowledge in at least Python or Matlab, but ideally a solid knowledge with Object Oriented programming in Java. It's a plus if you have experience in Database query languages such as SQL, Spark or PySpark. Most importantly, you are able to and have a strong interest in expanding your knowledge far beyond your current domain. You must be a team player and must feel comfortable to work with different teams as a cross functional contributor, in different systems developed by different teams.
As an Applied Scientist III, you will
Be a technical leader in feedback control, machine learning, optimization, auction theory, and statistical inference within this team and across other teams
Develop, analyze, and implement feedback control and prediction algorithms, and machine learning models, and in collaboration with partner teams deploy algorithms/models into production.
Develop, design, and run A/B experiments, gather data, and perform statistical analysis.
Establish scalable, efficient, automated processes for monitoring and feedback.
Work closely with software engineers to assist in productionizing your work.
Research new feedback control, machine learning, and optimization algorithms for improved system performance and robustness.
Recruit Applied Scientists and Data Scientists to the team and mentor scientists on the team.
About the team
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
Team video https://youtu.be/zD_6Lzw8raE
Basic Qualifications
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
3+ years of building machine learning models for business application experience
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience in auctions or mechanism design
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 $150,400/year in our lowest geographic market up to $260,000/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.
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