Machine Learning Engineer , Data & Machine Learning (DML) Job at Amazon in Seatt

Machine Learning Engineer, Data & Machine Learning (DML)

Job ID: 10394708 | Amazon Web Services, Inc.

Required: US Citizen with an active Top Secret security clearance (TS/SCI).

We are looking for a Machine Learning Engineer to work with customers to design, implement, and scale AI/ML solutions on AWS. The role includes:

• Architect complex, scalable, secure AI/ML solutions and select/fine‑tune models.


• Develop, deploy, and experiment with machine learning models and generative AI applications.


• Collaborate with stakeholders to identify high‑value use cases and propose effective implementation strategies.


• Provide technical guidance on responsible, cost‑efficient AI and troubleshoot throughout project delivery.


• Act as trusted advisor on AI/ML advancements and emerging technologies.


• Share knowledge via mentoring, training, and creating reusable artifacts.

Key Responsibilities

• Designing and implementing complex, scalable, secure AI/ML solutions on AWS.


• Developing and deploying machine learning models and generative AI applications; conducting experiments and optimizing performance at scale.


• Collaborating with customer stakeholders to identify use cases, gather requirements, and propose strategies.


• Providing technical guidance on responsible and cost‑efficient AI and ensuring adherence to best practices.


• Acting as a trusted advisor on AI/ML advancements and leveraging diverse data sources.


• Mentoring, training, and creating reusable AI/ML artifacts.

Basic Qualifications

• Bachelor's degree in STEM.


• Experience in professional software engineering standards, architecture, code reviews, source control, continuous deployment, testing, and operational excellence.


• 3+ years of machine learning/statistical modeling, data analysis tools, and techniques.


• Current, active US Government Security Clearance of Top Secret or above.

Preferred Qualifications

• Master's degree in STEM.


• Experience working on multi‑team, cross‑disciplinary projects.


• Experience applying quantitative analysis to solve business problems and make data‑driven decisions.


• Experience defining and creating benchmarks for assessing GenAI model performance.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Your compensation package will include sign‑on payments, restricted stock units (RSUs), health insurance, 401(k) matching, paid time off, and parental leave.