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 worlds most customer-centric advertising solutions leveraging our unique datasets AI/ML technologies and AWS infrastructure.
Amazons DemandTech Platform is the companys programmatic advertising product supporting campaigns spanning Display Video and Audio across Amazon properties (e.g. 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 Software Engineer to join Maestro ML platform - Inference 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 model inference of large-scale deep learning models in ad serving systems. 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 scalable software systems and data infrastructure to address business challenges.
- Implement efficient and robust services to support ML model deployment and inference at sub millisecond latency.
- Collaborate with scientists 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.
About the team
Work/Life Balance
We prioritize core in-office hours but our team members have the autonomy to adjust their schedules to best suit their needs with some arriving earlier and others staying later.
Inclusive Team Culture
Our team is intentional about attracting developing and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool service but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day. Were looking for a new teammate who is enthusiastic empathetic curious motivated reliable and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture weve been building.
Mentorship & Career Growth
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures and were building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough but kind code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
- Bachelors degree in computer science or equivalent
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (
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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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.