Machine Learning Engineer, WWPS ProServe Delivery Team

Amazon Web Services' ProServe Delivery Team seeks a hands-on Machine Learning Engineer to design, implement, and scale AI and ML solutions for customers, including generative AI, to meet technical requirements and business objectives. This onsite role in Arlington, VA offers collaboration with client stakeholders and cross-functional teams, with a salary range of USD 131,300 to 177,600 per year and a requirement of a STEM degree plus at least three years of relevant ML experience.

Responsibilities

• Design and deploy scalable, secure AI/ML architectures on AWS, selecting and tuning models to fit each client use case
• Develop and release ML models and generative AI applications that address real business problems, run experiments, and optimize performance at scale
• Partner with customer stakeholders to identify high-value AI/ML opportunities, gather requirements, and propose practical deployment strategies
• Provide technical guidance on applying AI responsibly and cost-efficiently, troubleshoot during delivery, and ensure alignment with best practices
• Serve as a trusted advisor on the latest AI/ML advancements, emerging technologies, and leveraging diverse data sources for maximum business impact
• Share knowledge across the organization by mentoring, training, creating reusable AI/ML artifacts, and collaborating to prototype new technologies

Requirements

• Bachelor’s degree or higher in Science, Technology, Engineering, or Mathematics (STEM)
• 3+ years of experience with machine learning, statistical modeling, and data analysis tools and techniques
• Professional software engineering experience with full software development lifecycle practices, including coding standards, architectures, code reviews, source control, continuous deployment, testing, and operational excellence
• Active TS/SCI U.S. government security clearance

Technologies

• AWS

Benefits

• Health, dental, vision, prescription drug coverage, and Life & AD&D insurance with optional supplemental life plans
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments and restricted stock units (RSUs)
• Adoption and surrogacy reimbursement
• Flexible Spending Accounts
• Employee Assistance Program (EAP) and mental health support
• Medical advice line

Diverse experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services offers the most comprehensive and widely adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups and Global 500 companies with a robust suite of products and services that power their businesses.

Work-life balance

We value work-life harmony and strive for flexibility within our culture. Supporting employees at work and at home helps us achieve success in the cloud.

Inclusive team culture

Curiosity and learning are part of our daily work at AWS. Employee-led affinity groups foster inclusion and celebrate differences.

Mentorship and career growth

We are committed to raising the performance bar and providing knowledge-sharing, mentorship, and career development resources to help you grow into a well-rounded professional.

Preferred qualifications

• Master’s degree or higher in Science, Technology, Engineering, or Mathematics (STEM)
• Experience defining and creating benchmarks for GenAI model performance
• Experience leading multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to business problems and making data-driven decisions