• Staff Software Engineer, AI/ML, Google Cloud AI

    Google (Sunnyvale, CA)
    …+ 5 years of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Information collected and… more
    Google (11/03/25)
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  • Senior Full-Stack Software Engineer

    NVIDIA (Santa Clara, CA)
    …This platform is critical for configuring autonomous driving scenarios and generating synthetic data at scale for model training. Working directly under the ... component libraries to support complex scenario configuration and high-frequency data visualization. + Feature Development: Build, develop, and deliver high-quality,… more
    NVIDIA (11/22/25)
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  • MQ-9 Model Based Systems Engineer

    General Atomics (Poway, CA)
    …We have an exciting opportunity for a Systems Engineer, who's familiar with Model Based Systems Engineering (MBSE) approaches, to join our MQ-9 Requirements and ... System Requirements, System Interfaces and System Design. + Develop a System Model , leveraging System Modeling Language (SysML), to create Block Definition Diagrams,… more
    General Atomics (11/20/25)
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  • Staff Software Engineer Lead, AI/ML

    Google (Mountain View, CA)
    …ML field. + 5 years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). + 3 ... years of experience with software design and architecture. **Preferred qualifications:** + Master 's or PhD degree in Computer Science or related field such as Math,… more
    Google (10/29/25)
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  • Senior Staff Software Engineer, Machine Learning…

    Google (Mountain View, CA)
    …leading technical project strategy, ML design, and working with ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine ... + Define the comprehensive standards for production-grade JAX workflows, spanning data input, highly distributed training loops, efficient model checkpointing,… more
    Google (10/31/25)
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  • Staff Software Engineer, AI/ML, Google Cloud

    Google (Mountain View, CA)
    …+ 5 years of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Information collected and… more
    Google (10/18/25)
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  • Research Engineer, Language - Content and User…

    Meta (Menlo Park, CA)
    …a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, ... join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As… more
    Meta (09/19/25)
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  • Manager, Artificial Intelligence, Notifications

    LinkedIn (Mountain View, CA)
    …solutions to optimize notification timing and delivery decisions. Leverage LinkedIn's rich data ecosystem to ground model outputs, improve relevance, and ... data modeling and machine learning **Preferred Qualifications** + Master 's degree in Computer Science, Information Retrieval, Machine Learning, Natural Language… more
    LinkedIn (11/28/25)
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  • Principal Model Based Systems Engineer

    BAE Systems (San Diego, CA)
    …from developing world-class autonomous mission management capabilities to advanced data analytics to support the warfighters and the intelligence community. ... shift in the way engineering is done. BAE Systems' Model Based Engineering Capability Group (MBE CG) is on...field and 6 years experience in Systems Engineering or Masters Degree in STEM field and 4 years experience… more
    BAE Systems (11/11/25)
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  • Staff, Software Engineer- MLE

    Walmart (Sunnyvale, CA)
    …+ Design, develop, and deploy end-to-end machine learning systems, including data ingestion, feature engineering, model training, deployment, and monitoring. ... services and distributed systems for ML applications. + Work closely with data scientists, software engineers, product managers, and DevOps teams to streamline … more
    Walmart (11/13/25)
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