Artificial Intelligence Software Development Engineer

vor 4 Wochen


Graz, Steiermark, Österreich Amazon Vollzeit
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our Amazon General Intelligence team. As a key member of our team, you will be responsible for developing and maintaining key platforms needed for developing, evaluating, and deploying Large Language Models (LLMs) for real-world applications.

Your primary focus will be on leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using cutting-edge hardware like NVIDIA GPUs. You will work closely with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility.

As a Machine Learning Engineer with the AGI team, you will have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You will be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality.

Key Responsibilities

  1. Develop and maintain key platforms for LLM development, evaluation, and deployment.
  2. Lead the development of novel algorithms and modeling techniques for large model training.
  3. Work with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility.
  4. Collaborate with Applied Scientists to process massive data, scale machine learning models, and optimize performance.

About the Team

Our AGI team is at the forefront of AI, pushing boundaries in deep learning, reinforcement learning, and more. As a member of our team, you will gain valuable experience and accelerate your career growth. We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation, and interaction.

Requirements

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience.
  • Experience programming with at least one software programming language.

Preferred Qualifications

  • 3+ years of full software development life cycle experience.
  • Master's degree in computer science or equivalent.
  • Experience in techniques like kernel fusion and custom kernels to improve GPU utilization.


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