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The Sponsored Products Ad Response Prediction Team, characterized by its spirited collaboration, tenacious drive, and a lively sense of camaraderie, invites you to be a part of our dynamic community. We're in search of a seasoned Machine Learning Engineer possessing a profound inclination for innovation at the nexus of customer experience, deep learning, and large-scale machine-learning systems. This role will spearhead the technical trajectory of ML solutions, working tirelessly to enhance their efficacy, reliability, and scalability.
Amazon Advertising, functioning at the convergence of eCommerce and advertising, is fervently investing in the development of an unrivaled advertising business. We are the architects of an array of self-service performance advertising products that catalyze product discovery and sales. Our offerings are strategically crucial to our Retail and Marketplace businesses, propelling enduring growth. We serve billions of ad impressions and millions of clicks daily, pioneering new territories to create world-class products that amplify the experience of both shoppers and advertisers. Endowed with a broad mandate to experiment and innovate, we're growing at an exceptional pace, opening up an infinite array of opportunities.
We're seeking a Software Engineer with Machine Learning knowledge for our Sponsored Products Ad Response Prediction team to elevate our business to new heights. Our mission is to deliver superior real-time Machine Learning services, connecting shoppers with perfectly-matched ads across all platforms and surfaces globally. By developing a profound understanding of shoppers and products, we help shoppers uncover products they'll adore, provide the most efficient platform for advertisers to reach their customers, and enable Amazon to continually innovate for the benefit of all its customers. As a SDE ML, you will operate across various technologies within the organization. Your responsibilities will include designing, coding, troubleshooting, and supporting scalable machine-learning pipelines and online serving systems. You'll also work with implementing end-to-end ML solutions and optimizing their performance. Beyond being a passionately motivated individual contributor, you'll also mentor junior engineers, guiding them to realize their full potential.
Key job responsibilities
· Contribute to the technical direction of our offerings and solutions.
· Work with many different technologies across the Sponsored Products organization.
· Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
· Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
· Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
· Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
· Design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems.
· Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA
Basic Qualifications
3+ years of non-internship professional Software Development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Preferred Qualifications
3+ years of full Software Development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Experience in Machine Learning, data mining, information retrieval, statistics or natural language processing
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.
