Join Our Cutting-Edge AI and ML Team as a Machine Learning Engineer II at Amazon Workforce Solutions

Amazon’s Workforce Solutions Analytics and Tech team is on the hunt for innovative minds eager to explore and solve complex problems utilizing the latest advancements in Large Language Models and Artificial Intelligence. If you possess a strong foundation in AI and ML systems design and development, and have a passion for transforming ideas into impactful ML-powered products, we want you!

Key Responsibilities

In this role, you will:

• Design, implement, and productionize AI/ML models in close collaboration with our expert scientists.
• Develop comprehensive ML and LLM workflows and pipelines, ensuring the highest standards in architecture and design.
• Leverage AWS AI services and a variety of internal and external tools to advance our AI capabilities.
• Identify and implement cutting-edge solutions to enhance tech efficiency and operational workflows.
• Provide expertise in performance optimization of large-scale systems and share best engineering practices.
• Influence project directions with your insights in LLMs, prompt engineering, and other GenAI technologies.

Why Join Us?

As a pivotal member of our team:

• You'll work on innovative projects that impact over a million Amazon associates globally.
• Gain hands-on experience with state-of-the-art tools such as AWS Bedrock, Amazon Q, SageMaker, and advanced models like Anthropic’s Claude and Mistral.
• Enjoy the opportunity to build personalized recommendation systems and AI assistant tools used across Amazon.

Preferred Locations

Candidates can choose to be based in Arlington, VA | Austin, TX | Bellevue, WA | Nashville, TN | Phoenix, AZ | Seattle, WA | Tempe, AZ.

Qualifications

To qualify, you need:

• 3+ years of professional software development experience (non-internship).
• 2+ years in system design and architecture.
• Proficiency in at least one programming language and 1+ year of hands-on ML experience.
• Preferred: Experience in full software development lifecycle and a Bachelor’s degree in Computer Science.

Amazon is committed to inclusivity and is an equal opportunity employer. We welcome and encourage applications from all qualified candidates, regardless of background. For special accommodations, please visit our .

Compensation and Benefits

Our compensation package is competitive, reflecting the cost of labor across different US regions. Salaries range from $115,000/year to $223,600/year based on geographical location and experience. Amazon offers a comprehensive benefits package, including health benefits, retirement plans, and unique company-specific incentives. .

Ready to innovate and make a significant impact? Apply now to be a Machine Learning Engineer II at Amazon Workforce Solutions and drive forward the future of our AI initiatives.