Software Development Engineer (ML), AGI Customization, AGI Customization

About the role

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation. As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.

Responsibilities

• Work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility
• Work closely with Applied scientists to process data, scale machine learning models while optimizing
• Work in an Agile/Scrum environment to deliver high quality software

About the team

Our highly talented team is a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We value your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Our team puts a high value on work-life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Basic qualifications

• 3+ years of non-internship professional software development experience
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Knowledge of machine learning model architecture and inference
• 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT

Preferred qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent