Machine Learning Engineer, WWPS ProServe Delivery Team

Machine Learning Engineer on the AWS ProServe Delivery Team, onsite in Arlington, VA, focused on designing, implementing, and scaling AI/ML and generative AI solutions for customers.

Compensation

• USD 131,300 - 177,600 per year

Responsibilities

• Architect, deploy, and secure scalable AI/ML workloads on AWS, tailoring to client needs and selecting appropriate models, including fine tuning for specific use cases
• Build and launch ML models and generative AI applications that address real business problems, run experiments, and optimize performance at scale
• Collaborate with client stakeholders to identify high value AI/ML opportunities, capture requirements, and craft implementation strategies for ML and generative AI solutions
• Provide guidance on applying AI, machine learning, and generative AI responsibly and cost efficiently, troubleshoot across the delivery lifecycle, and enforce best practices
• Serve as a trusted advisor on the latest AI/ML advances, emerging technologies, and innovative methods to leverage diverse data sources for business impact
• Share knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and prototype evaluation with teammates

Requirements

• Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM)
• At least 3 years of hands-on experience with machine learning, statistical modeling, and data analysis techniques
• Experience applying professional software engineering practices across the full software development life cycle, including coding standards, architectures, code reviews, source control, continuous deployments, testing, and operational excellence
• Active TS/SCI security clearance

Technologies

• AWS

Benefits

• Health, dental, vision, prescription coverage and Life & AD&D insurance, with optional supplemental life plans
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on incentives 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. If you do not meet every preferred qualification, we encourage you to apply. People early in their careers or with nontraditional paths are welcome to pursue this role.

Why AWS

AWS is a leading, widely adopted cloud platform known for ongoing innovation. Customers range from ambitious startups to Global 500 companies relying on our robust product suite to power their operations.

Work/Life Balance

We aim for harmony between work responsibilities and personal life, offering flexibility to support a healthy balance and sustained performance.

Inclusive Team Culture

We foster a culture of curiosity and learning. Employee-led affinity groups support inclusion and celebrate diverse perspectives within the team.

Mentorship and Career Growth

We continually raise the performance bar and provide mentorship, knowledge-sharing, and career-advancing resources to help you develop as a well-rounded professional.

Preferred Qualifications

• Master's degree or higher in STEM
• Experience defining and creating benchmarks for GenAI model performance
• Experience leading multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven decisions