Software Development Engineer (L6), Amazon Advertising - Sponsored Products (Level 6)

Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

We're seeking a Machine Learning Engineer for our Sponsored Products Detail Page Experience and Marketplace Intelligence team to elevate our business to new heights. 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.

Basic Qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

- 5+ 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

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 $151,300/year in our lowest geographic market up to $261,500/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.