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    Machine Learning Engineer - San Diego, United States - LanceSoft

    LanceSoft
    LanceSoft San Diego, United States

    1 week ago

    Default job background
    Description

    Successful candidate for this position will have the following:

    Please make sure you read the following details carefully before making any applications.
    • Must have a BS or Master's degree or PhD in Electrical and/or Computer Engineering or Computer Science
    • At least 5 years of relevant work experience.
    • Strong understanding of dimensionality reduction techniques, clustering, and classification.
    • Familiarity with supervised and unsupervised machine learning metrics and requirements.
    • Excellent writing, documentation, and communication skills.
    • Ability to learn new skills and take on new responsibilities.
    • Experience working with AI Accelerators and Performance Analysis
    • Experience in ASIC or FPGA Design, Verification
    • Experience in Architecture, Microarchitecture of high speed, low power, optimal area IPs
    • Great communications skills with the ability to articulate results.

    Preferred Skills:

    • Experience with dynamical systems, optimization, and simulation.
    • Knowledge of the latest and most performant ML/AI algorithms.
    • Ability to create customer deliverable research reports.
    • Proposal writing skills for new ML/AI work.
    • Processor system knowledge including basic understanding of SoC systems as well as operating system software.

    Responsibilities include, but not limited to:

    • Develop and Analyze Machine Learning or AI Models for Edge AI applications.
    • Analyze Open-Source Large Language, Vision and Multi-modal models and deploy them for mobile systems.
    • Customize the models for performance and power analysis and implement changes for performance improvements.
    • Work with the third-party Application and Model developers to get custom models for mobile devices and to analyze Memory and Storage requirements.
    • Work with the SDKs from SoC vendors to deploy models on different Accelerators in the mobile system and analyze the performance with different accelerators.
    • Run tests to assess and AI performance.
    • Stay up to date on the latest innovations in machine learning.
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