Machine Learning Engineer, Generative AI Innovation Center
vor 1 Woche
Machine Learning Engineer, Generative AI Innovation Center Join AWS as a Machine Learning Engineer in our Generative AI Innovation Center, where multidisciplinary teams of strategists, scientists, engineers, and architects collaborate with customers across industries to fine‑tune and deploy customized generative AI applications at scale. Working closely with foundational model providers, you will design, build, and optimize large language models (LLMs) for diverse use cases, ensuring high‑performance deployment on AWS’s custom AI accelerators. 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. Collaborate with enterprise customers and foundational model providers to understand business and technical challenges, co‑developing tailored generative AI solutions. Day in the Life AWS Global Services brings together experts from across AWS to help customers design, build, operate, and secure their cloud environments. You'll be part of a diverse team of technical experts in dozens of countries, helping customers achieve more with the AWS cloud. About the Team AWS values diverse experiences. Even if you do not meet all the 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. Qualifications Basic Qualifications 3+ years of non‑internship professional software development experience. 2+ years of experience designing or architecting new and existing systems. Experience programming with at least one software programming language. Hands‑on experience with deep learning and/or machine learning methods (e.g., training, fine‑tuning, inference).Hands‑on experience with generative AI technology. Preferred Qualifications 2+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations. Bachelor’s degree in computer science or equivalent. 1+ years of experience deploying or optimizing machine learning models using a recognized ML library or framework. Acknowledgement Of Country In the spirit of reconciliation, Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea, and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. Equal Opportunity Statement Amazon is an equal opportunity employer—no discrimination on the basis of veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit Amazon accommodations for more information. Company: Amazon Web Services Australia Pty Ltd #J-18808-Ljbffr
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Council of the City of Sydney, Österreich Amazon Web Services (AWS) VollzeitMachine Learning Engineer, Generative AI Innovation Center The Generative AI Innovation Center at AWS empowers customers to harness state‑of‑the‑art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine‑tune and...
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Generative AI ML Engineer
vor 1 Woche
Council of the City of Sydney, Österreich Amazon Web Services (AWS) VollzeitA leading cloud services company is looking for a Machine Learning Engineer to join its Generative AI Innovation Center. In this role, you will design and implement large-scale training pipelines for language models, optimize them for AWS solutions, and collaborate with customers on tailored applications. Candidates should have significant experience in...
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City of Melbourne, Österreich Amazon VollzeitKey job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency. LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training,...
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City of Melbourne, Österreich Amazon Web Services (AWS) VollzeitA leading cloud service provider is looking for a Machine Learning Engineer for their Generative AI Innovation Center. You will design and optimize large language models and work closely with customers to deploy customized AI applications. The ideal candidate should have significant experience in software development, deep learning, and generative AI...
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