Machine Learning Engineer, Generative AI Innovation Center
vor 3 Wochen
Key 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, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance. Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions. Qualifications 3+ years of non-internship professional software development experience. 2+ years of industry design or architecture experience of new and existing systems. Hands‑on experience with deep learning and/or machine learning methods (e.g. training, fine‑tuning, 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. Bachelor's degree in computer science or equivalent. Amazon is an equal opportunity employer and does not discriminate on the basis of protected 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, including support for the interview or onboarding process, please visit for more information. The country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr
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City of Melbourne, Österreich Amazon Web Services (AWS) VollzeitMachine 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...
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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 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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vor 2 Wochen
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Generative AI Engineer
vor 1 Woche
Council of the City of Sydney, Österreich Paxus - Technology + Digital Talent VollzeitWe are looking for a talented Generative AI Engineer to join our team and contribute to designing, developing, and deploying cutting‑edge AI solutions. If you are passionate about building intelligent systems using the latest advancements in GenAI, deep learning, and transformer‑based architectures, we’d love to hear from you. About the Role In this...
