Machine Learning Engineer, Sponsored Display, Amazon Ads

About Amazon Advertising: Amazon Advertising is at the crossroads of eCommerce and advertising, dedicated to providing a myriad of digital display advertising solutions—all geared at making it easy for our customers to find and purchase whatever they desire. We assist a varied range of advertisers reach Amazon customers on Amazon.com, on our other own and managed sites, on other premier sites across the web, as well as on countless Kindles, tablets, and mobile devices. We start with the customer and then work our way backwards in everything we accomplish, including advertising. If you are considering joining a rapidly developing team that’s committed to building a one-of-a-kind, enterprise-level advertising group with a relentless customer focus, you’ve landed at the right place. About our team: Sponsored Display (SD) is the inaugural self-service display advertising solution from Amazon Advertising. It enables any advertiser—irrespective of budget size, advertising experience, or technical expertise—to set up display campaigns that show ads on key placements across Amazon's websites and apps (such as Amazon.com, Twitch, IMDb), devices (like Kindle, Fire Tablet, Fire TV, Echo), third-party websites (e.g., nytimes.com) and mobile apps. About the role: We’re on the lookout for a Machine Learning Engineer (MLE) to contribute to the architecture of our Machine Learning infrastructure, and to build the technical foundations that encourage scientific innovation and augment the team’s productivity. The successful candidate will work closely with Applied Scientists to optimize the performance of machine learning models, designing, implementing, testing, and supporting the production release of scalable and low latency machine learning components. Should you join us, you will be the owner of the solutions you create. These solutions will directly impact the experiences of our customers and advertisers. This is a high-visibility role across multiples organizations, where you have the potential to make a significant impact. Key job responsibilities: - Enhance the infrastructure for scientists to prototype, train, and research Machine Learning solutions - Design and implement ETL jobs for generating features and training models on very large datasets - Develop and maintain end-to-end services supporting Machine Learning models in production - Formulate caching solutions that support features and models in production A day in the life: - Hands-on design, development, implementation and maintenance of Machine Learning models and pipelines in production for batch and real-time use cases - Enable quick model research, development, and low-latency serving - Work collaboratively with engineers, scientists, product managers, and leadership We are open to hiring candidates to work out of the following location: Santa Monica, CA, USA Basic Qualifications: - 3+ years of professional software development experience, excluding internships - 2+ years of experience in designing or architectural work (design patterns, reliability and scaling) of new and current systems - Proficiency in at least one software programming language - 2+ years of experience in developing large-scale machine learning infrastructure for online recommendation, ad ranking, personalization, or search purposes Preferred Qualifications: - 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree in computer science or equivalent Amazon is dedicated to fostering a diverse and inclusive workplace. Amazon is an equal-opportunity employer and does not engage in discrimination on the grounds of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We welcome accommodation requests for individuals with disabilities—please visit https://www.amazon.jobs/en/disability/us. In accordance with the Los Angeles Fair Chance Ordinance and the San Francisco 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 $115,000/year in the lowest geographic market up to $223,600/year in the highest geographic market. Pay is dependent on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon provides total compensation. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be offered as part of a total compensation package, in addition to a comprehensive range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.