Software Engineer - AI/ML, Ads Marketing...

Design, develop, and deploy production-grade engineering and machine learning systems that deliver measurable customer impact at scale. Write clean, efficient, and well-tested code while collaborating with cross-functional teams to deliver scalable systems. Own end-to-end AI/ML pipelines including data processing, optimization, and inference infrastructure. Lead technical design discussions, mentor engineers, and drive architectural decisions for AI/ML solutions. Collaborate with Applied Scientists to productionize research innovations while ensuring system reliability, performance, and cost efficiency. Demonstrate strong ownership of complex technical problems spanning multiple services and teams. Continuously learn new AI/ML technologies and engineering best practices while demonstrating Amazon’s Leadership Principles, particularly Ownership and Deliver Results, in daily work.

3+ years of non-internship professional software development experience

• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

• Experience programming with at least one software programming language

• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

• Strong AI/ML interests and qualifications in Artificial Intelligence, machine learning, and/or Generative AI, such as computer vision, deep learning models

Preferred Qualifications

• 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

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, NY, New York - 158,100.00 - 213,800.00 USD annually

Amazon is investing heavily in building a world-class advertising business and we are delivering a suite of self-service products with 3P integration to drive discovery and sales. Our products are strategically important to the long-term growth of the Amazon Ads businesses. We deliver billions of ad impressions and millions of clicks daily and are breaking new ground by launching innovative automation products every day.

Our systems and algorithms operate on one of the world’s largest product catalogs and our distributed systems process massive datasets routinely. We consistently strive to improve the marketer’s and advertiser’s search and browse experience. You will not merely go through the full software development cycle but more importantly drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce.

Our System:

Ads Marketing is building Marketing Command Center (MCC), an AI-powered marketing intelligence engine that transforms how Amazon Ads marketers plan, execute, and measure campaigns. MCC connects every tool, workflow, and insight into a single intelligence engine that learns and improves with every interaction. The system integrates with our existing marketing technology stack-including Workfront, Asana, Adobe Experience Manager, Salesforce, Adobe Analytics, and Launchpad-enabling marketers to interact through natural language rather than manually navigating multiple disconnected systems. At its core, MCC uses autonomous AI agents to handle repetitive tasks across the entire campaign lifecycle: from intelligent campaign creation and brief submission to cross-campaign optimization and real-time organizational visibility. The platform is built on a composable, modular architecture with durable foundations (tool integrations and knowledge bases) and replaceable intelligence layers (AI agents and orchestration) that can evolve as technology advances. MCC moves our organization from 90% manual processes with a 52-day average campaign execution time to an automated, intelligence-driven operation that frees marketers from mundane work, enabling them to focus on strategy, creativity, and delivering exceptional experiences for our advertisers.