The Generative AI Innovation Center at AWS aims to empower customers by leveraging state-of-the-art AI technologies for transformative business opportunities. This role focuses on developing custom Large Language Models (LLMs) and optimizing them for high-performance deployment on AWS infrastructure to deliver next-generation AI solutions for top AWS clients.
Requirements
- Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
- Hands-on experience with generative AI technology
- Hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework
Responsibilities
- Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
- Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
- Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
- Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
Other
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 1+ years of programming with at least one software programming language experience
- Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
