JobsMachine Learning Engineer, Data & Machine Learning (DML)
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Machine Learning Engineer, Data & Machine Learning (DML)

Amazon

Location

Arlington, VA

Type

Full-time

Posted

5/4/2026

Compensation

$131,300 - $177,600 per year

Undergraduate with 2+ Years of Experience
Approval 98.6%·Filings 19,451·New hires 10,113·
👑 Elite Sponsor
·FY 2025

Job description

The Machine Learning Engineer position at Amazon Web Services (AWS) involves working on cutting-edge AI and machine learning solutions to address real-world business challenges. The role requires collaboration with customers to design, implement, and scale AI/ML solutions that align with their technical and business needs. As part of the AWS Professional Services team, you will leverage your expertise in machine learning and generative AI to drive customer success and innovation. This position also emphasizes mentorship and knowledge-sharing within a diverse and inclusive team culture.

Requirements

  • Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience.
  • 3+ years of experience with machine learning and statistical modeling data analysis tools and techniques.
  • Experience in professional software engineering and best practices for the full software development life cycle.
  • Current, active US Government Security Clearance of TS/SCI.
  • Experience working on multi-team, cross-disciplinary projects.
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving.
  • Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions.
  • Experience working with Large Language Models (LLMs) and generative AI frameworks.

Responsibilities

  • Design and implement complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs.
  • Develop and deploy machine learning models and generative AI applications that solve real-world business problems.
  • Collaborate with customer stakeholders to identify high-value AI/ML use cases and gather requirements.
  • Provide technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently.
  • Act as a trusted advisor to customers on the latest advancements in AI/ML and innovative approaches to leveraging diverse data sources.
  • Share knowledge within the organization through mentoring, training, and creating reusable AI/ML artifacts.

Benefits

  • Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.

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