Sr. Software Engineer, Machine Learning - Amazon Advertising, DemandTech MLENG - Maestro

Amazon • Palo Alto, CA • 1d ago

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 DemandTech is seeking an experienced Senior Software Engineer to join the Maestro ML platform - Training team. In this role, you will be responsible for building and scaling AI/ML infrastructure for real-time bidding. The target systems require high availability and will handle state of the art model training leveraging vast amount of advertising data. Working closely with other engineers and scientists, you will have the opportunity to contribute to the long-term architectural vision. You will develop and maintain scalable software solutions supporting data pipelines, analytical tools, and machine learning infrastructure. You will collaborate with data scientists, analysts, and product managers to deliver production-grade software. Ideal candidates have strong technical skills, experience in building reliable software, and can effectively operate in a dynamic environment.

Key job responsibilities

Design and develop scalable software systems and data infrastructure to address business challenges.

Implement efficient and robust services to support ML model training, and deployment.

Collaborate with scientists and analysts to operationalize machine learning models and integrate them into production systems.

Conduct thorough code reviews, ensuring reliability, efficiency, and maintainability of solutions.

Develop and run regular A/B testing infrastructure, ensuring accuracy and scalability in experiments.

Provide technical guidance and mentorship to other software development engineers on the team.

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

8+ 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 with popular deep learning frameworks such as TensorFlow and PyTorch.

Experience in professional software development and large-scale distributed systems

Proficiency in programming languages such as Java, Rust, C++ or similar.

Proficiency in scripting language such as Python or similar.

Experience with large-scale data processing technologies (e.g., Spark, Hadoop).

Solid understanding of software development best practices, including code quality, version control, testing, and deployment.

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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