Machine Learning Engineer, Generative AI Innovation Center

Join us at Amazon Web Services (AWS) as a Machine Learning Engineer in the Generative AI Innovation Center focused on Model Customization. You will have the opportunity to drive transformative business opportunities using state-of-the-art AI technologies.

The Generative AI Innovation Center at AWS empowers customers to leverage cutting-edge AI solutions. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with a variety of industries to customize and deploy innovative generative AI applications at scale. Additionally, we partner with foundational model providers to refine AI models for Amazon Silicon, boosting performance and efficiency.

As a member of our team, you will:

• Design and implement large-scale distributed training pipelines for Large Language Models (LLMs) using advanced tools, ensuring efficiency and scalability.
• Customize and fine-tune LLMs for different languages, domains, and applications through continued pre-training and Reinforcement Learning with Human Feedback (RLHF).
• Optimize AI model deployments on AWS Silicon including Inferentia and Trainium, utilizing the AWS Neuron SDK and developing custom kernels.
• Engage directly with enterprise customers and foundational model providers to identify their challenges and co-develop tailored generative AI solutions.

About The Team:
We embrace diverse experiences and welcome all applicants. If your career path is non-traditional or you meet some but not all qualifications, we encourage you to apply.

Why AWS:
AWS is the world's leading cloud platform, known for continuous innovation and a broad range of services trusted by global companies.

Work/Life Balance:
We value harmony between work and home life, striving for a flexible working culture.

Inclusive Team Culture:
Our culture fosters curiosity and collaboration, with employee-led groups that promote inclusion and diverse perspectives.

Mentorship and Career Growth:
We provide extensive resources for knowledge sharing and mentorship to support your professional development.

Basic Qualifications:

• 3+ years of professional experience in software development.
• 2+ years of experience in designing or architecting systems.
• Proficiency in at least one programming language.
• Experience in deep learning or machine learning methods.
• Hands-on experience with generative AI technology.

Preferred Qualifications:

• 2+ years of experience throughout the software development life cycle.
• Bachelor's degree in computer science or equivalent field.
• 1+ years of experience with deploying or optimizing machine learning models using recognized libraries.

The position is based in Bellevue, WA.

Amazon is an equal opportunity employer, committed to fostering an inclusive workplace.