About the Role

The Sr. Machine Learning Engineer will lead the development of novel algorithms and modeling techniques for large-scale multi-modal LLM training using cutting-edge hardware. This role involves building key platforms for developing, evaluating, and deploying LLMs for real-world applications while collaborating with applied scientists to process massive datasets and optimize models.

Key Responsibilities

• Lead development of novel algorithms and modeling techniques for large model training
• Develop and maintain key platforms for developing, evaluating and deploying LLMs
• Work with team members to investigate design approaches and prototype new technology
• Work closely with Applied scientists to process massive data and scale machine learning models
• Influence overall strategy and shape future direction of AGI at Amazon

Required Skills & Qualifications

Must Have:

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language
• 5+ years of leading design or architecture of new and existing systems
• Experience as a mentor, tech lead or leading an engineering team

Nice to Have:

• 5+ years of full software development life cycle experience
• Bachelor's degree in computer science or equivalent