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Senior Software Engineer, Machine Learning…
- Amazon (New York, NY)
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Description
Amazon Advertising is looking for highly skilled and experienced software engineers to drive the development of next-generation solutions that enable advertisers to reach customers across our owned and operated sites, as well as other high-quality publisher sites on the web, and on millions of desktops, mobile devices, and connected TV platforms. Our mission is to offer the world's most customer-centric advertising solutions, leveraging our unique datasets, AI/ML technologies, and AWS infrastructure.
Amazon's DemandTech Platform is the company's programmatic advertising product, supporting campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, Prime Video, Freevee, Twitch, and Amazon Music) and tens of thousands of third-party websites and applications. We are seeking candidates who wish to join a team focused on building large-scale systems that integrate data from multiple sources to provide unique and impactful advertising products.
Amazon Demand Tech is seeking an experienced Senior Software Engineer to enhance our deep learning modeling capabilities to drive performance for advertisers. In this role, you will be responsible for building and scaling AI/ML solutions for real-time bidding systems that demand high availability and low latency. You will work closely with applied scientists and engineers to develop and maintain scalable software solutions that support large-scale deep learning models in ad serving systems. These systems leverage vast volumes of advertising data for state-of-the-art model training. You’ll also contribute to the long-term architectural vision and collaborate with product managers to deliver production-grade solutions. Ideal candidates will have strong technical expertise, a proven track record of building reliable software, and the ability to thrive in a fast-paced, dynamic environment.
Key job responsibilities
- Design and develop high-throughput, low-latency systems, demonstrating strong troubleshooting and root-cause analysis skills.
- Leverage problem-solving abilities to collaborate with cross-functional teams, think strategically, and simplify complex challenges.
- Work closely with teams across Amazon to integrate and optimize existing advertising products, leveraging the company's scale and reach.
- Apply technical expertise, excellent organizational and communication skills to tackle ambiguous, high-impact problems, demonstrating ingenuity and motivation to deliver results in a fast-paced environment.
- Provide technical guidance and mentorship to other software development engineers on the team.
- Ensure a high standard of quality by conducting design reviews, implementing robust engineering practices, and driving automated testing and code coverage.
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
- 3+ years of leading design and implementation of machine learning systems in production.
- Experience with ML libraries/frameworks such as AWS Sagemaker (e.g. pipeline, training jobs, HPO jobs) and PyTorch.
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
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