• Senior Machine Learning Engineer, AWS…

    Amazon (Santa Clara, CA)
    … models or developing algorithms for business application - Experience with neural deep learning methods and machine learning Preferred Qualifications - ... orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. About the team… more
    Amazon (07/26/25)
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  • Distinguished Software Engineer - Machine…

    LinkedIn (Mountain View, CA)
    …latest techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of ... Qualifications: PhD in a relevant field or related discipline (machine learning , statistics, computer science etc.), or equivalent research experience 10+ years… more
    LinkedIn (07/18/25)
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  • Machine Learning Engineer - AIC Core

    Zoom (San Jose, CA)
    …C++, or CUDA, with experience in building scalable software systems. + Understand deep learning frameworks such as PyTorch, TensorFlow, or similar. + Demonstrate ... Machine Learning Engineer What you can expect As a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future… more
    Zoom (07/09/25)
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  • Member of Technical Staff - Reinforcement…

    Amazon (San Francisco, CA)
    …Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience debugging ML ... responsibilities * Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust. * Work across… more
    Amazon (05/17/25)
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  • Technical Program Manager III, Machine…

    Google (Mountain View, CA)
    …projects. + Experience with one or more of the following: automation, deep learning , speech recognition, TensorFlow. + Experience managing execution and ... 5 years of experience in program management. + Experience in Machine Learning or Artificial Intelligence. **Preferred qualifications:** + 5 years of experience… more
    Google (07/01/25)
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  • Sr. Software Engineer, Machine Learning

    Amazon (Palo Alto, CA)
    …- Bachelor's degree in computer science or equivalent - Experience with popular deep learning frameworks such as TensorFlow and PyTorch. - Experience in ... software solutions supporting data pipelines, analytical tools, and machine learning infrastructure. You will collaborate with data scientists, analysts, and… more
    Amazon (06/24/25)
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  • Member of Technical Staff - Machine…

    Amazon (San Francisco, CA)
    …team - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, eg, PyTorch, JAX Preferred Qualifications - ... In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual… more
    Amazon (06/05/25)
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  • Sr. Machine Learning Engineer

    Amazon (San Diego, CA)
    …PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning , deep learning , or natural language processing - ... lead or leading an engineering team - Experience in developing machine learning pipelines, developing large language model or natural language understanding models.… more
    Amazon (05/16/25)
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  • Sr. Staff Machine Learning Engineer

    Zscaler (San Jose, CA)
    …solutions in production + Proficiency with mainstream modeling toolkits, including ML/ Deep learning (TensorFlow/Keras, PyTorch, Sklearn, Spacy), Data Science ... speed and agility with a cloud-first strategy. We're looking for a Sr. Staff Machine Learning (ML) Engineer to join our AI Copilot team. This role will be based in… more
    Zscaler (06/21/25)
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  • Research Engineer/Scientist, Training Algorithms

    Google (Mountain View, CA)
    … neural network pipeline. The team you would join studies optimization for deep learning , hyperparameter tuning, and other methodological topics in deep ... goal is to generate scientific insights and create new methods that make deep learning practitioners dramatically more effective. We are not directly tied to any… more
    Google (07/20/25)
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