Machine Learning Engineer, Advertising & Marketing Performance Intelligence

The Advertising & Marketing Performance Intelligence (AMPI) team is seeking passionate and talented MLE to join us. Team is on a mission to
create cohesive relevant and truly helpful marketing experiences for every advertiser through automated processes and intelligence that enable scaled personalization. Our team is responsible for defining and publishing automated marketing communications leveraging Machine Learning large language models (LLMs) large quantitative models (LQMs) and specialized agents using AI/ML workflows.

We are looking for a Machine Learning Engineer (MLE) to develop deploy and scale robust ML and GenAI solutions in production environment. You will own building ML Infra for production models and feed AI/ML outputs to systems and this role you will closely partner with Applied Scientists Data EngineersProduct Managers Software engineers to deliver and implement automated decision-making algorithms. This team plays a significant role in various stages of the innovation pipeline from identifying business needs developing new algorithms prototyping/simulation to implementation by working closely with colleagues in engineering science product management marketing business operations and finance.

Key job responsibilities
- Collaborate with Data and Applied Scientists to process structured/unstructured data inputs scale ML and LLM infra while optimizing Infra costs GPU utilization memory management and the training workflows (like offloading optimizer states massive parallelization etc) for the production environments.

- Create and deliver reusable technical assets that help to accelerate the adoption of ML Optimization and GenAI across different science initiatives

- Design and maintain production grade large-scale distributed training systems to support ML Causal GenAI and multi-modal foundation models.

- Optimize AWS AI/ML infra costs GPU utilization for efficient model training latency costs and fine-tuning on massive datasets.

- Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows support piloting the LLMs and identify the related issues in the system.

- Collaborate with Engineers Data and Applied Scientists to investigate design approaches prototype new GenAI and ML models evaluate technical feasibility identify and solve complex problems.



A day in the life
As a member of our team youll work on projects that directly impact millions of Amazon advertisers and Marketers across the globe . This role will provide exposure to state-of-the-art innovations in Big Data AI/ML systems and help Ads Marketing automate advertiser communications with personalized and relevant content and Measure/Calibrate Marketing effectiveness using RCTs. Technologies you will have exposure to and/or will work with include AWS Bedrock Agentic AI (RAG Agentic architectures vector databases) Amazon Q SageMaker Containerized deployments Hugging Face/LangChain Guardrail implementations and Foundational Models such as Qwen Anthropics Claude / Mistral among others.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience in machine learning data mining information retrieval statistics or natural language processing

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- 1 years of building large-scale machine-learning infrastructure for online recommendation ads ranking personalization or search experience

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.

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 WA SEATTLE - 143700.00 - 194400.00 USD annually