- Snap Inc. (Seattle, WA)
- …execute with privacy at the forefront. We're looking for a Staff Software Engineer , Machine Learning Infrastructure to join the AI Training Platform (aka Bento) Team ... with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML , scikit-learn, or related frameworks + Experience with distributed training runtime… more
- Amazon (Bellevue, WA)
- Description Are you interested in helping AWS customers by building ML -distributed systems to deploy Generative AI models for inferencing at scale? SageMaker is a ... prepare data and build, train, and deploy machine learning ( ML ) models for any use case with fully managed...Specifically, the SageMaker Inference Platform enables customers to deploy ML models at scale to run high throughput, low-latency… more
- Google (Kirkland, WA)
- …and responding to the human voice), reinforcement learning (eg, sequential decision making), ML infrastructure, or specialization in another ML field. + 5 years ... of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing,...on and is growing every day. As a software engineer , you will work on a specific project critical… more
- Amazon (Seattle, WA)
- …AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon ... you excited about building software solutions around large, complex Machine Learning ( ML ) and Artificial Intelligence (AI) systems? Want to help the largest global… more
- Amazon (Seattle, WA)
- …the Trn1 and Inf1 servers that use them. This role is for a senior software engineer in the Machine Learning Applications ( ML Apps) team for AWS Neuron. This ... enablement and performance tuning of a wide variety of ML model families, including massive scale large language models...as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip… more
- Amazon (Seattle, WA)
- …and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications ( ML Apps) team for AWS Neuron. This role ... enablement and performance tuning of a wide variety of ML model families, including massive scale large language models...as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip… more
- Amazon (Seattle, WA)
- …the Trn1 and Inf1 servers that use them. This role is for a senior software engineer in the Machine Learning Applications ( ML Apps) team for AWS Neuron. This ... enablement and performance tuning of a wide variety of ML model families, including massive scale large language models...as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip… more
- Amazon (Seattle, WA)
- …and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications ( ML Apps) team for AWS Neuron. This role ... enablement and performance tuning of a wide variety of ML model families, including massive scale large language models...as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with compiler… more
- Amazon (Seattle, WA)
- …the Trn1 and Inf1 servers that use them. This role is for a senior software engineer in the Machine Learning Applications ( ML Apps) team for AWS Neuron. This ... enablement and performance tuning of a wide variety of ML model families, including massive scale large language models...as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip… more
- Amazon (Seattle, WA)
- …Machine Learning accelerators. This role is for a senior machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, ... enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM)...Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with… more