ML Engineer - Doral, United States - Understanding Recruitment

    Understanding Recruitment
    Understanding Recruitment Doral, United States

    1 month ago

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    Description

    Introduction:


    Are you a Machine Learning Engineer, who wants to be at the heart of groundbreaking developments in the field of AI.

    You'll play a pivotal role in our AI SDK development, with a specific focus on deep learning training and inference components.

    This involves designing and constructing graph parsers, optimizers, and deployment tools in Python and C++.

    Your work will enhance the efficiency of deep learning model deployment and contribute to crafting essential components of our AI framework.


    About the Company:
    Our on a mission to make AI accessible to the many, not just the few. Our approach makes it possible for organizations of all sizes to equally benefit from the transformative potential of AI.

    You'll have the opportunity to contribute to both hardware and software tools that enable the responsible adoption of AI to elevate humanity's collective potential.

    Key Responsibilities

    As a Machine Learning engineer, you will contribute to our AI SDK development, with a focus on deep learning training and inference components.

    Design and construct graph parsers, optimizers, and deployment tools in Python and C++ to enhance the efficiency of deep learning model deployment.

    Craft essential components of our AI framework and provide insights into the design of new hardware generations.
    Optimize the performance of AI models on our cutting-edge hardware.
    Stay current with industry workload, changes, and advancements to ensure our solutions remain at the forefront of the field.

    Qualifications:
    BS, MS , or PhD in a STEM field.
    Experience as a Machine Learning Engineer
    Strong algorithmic proficiency and understanding of numerical analysis.
    Experience with enterprise application requirements.
    Proven ability to write high-performance, scalable code for enterprise-grade products.
    Proficiency in linear algebra, particularly in parallel computing on GPUs.
    Minimum 4 years of software development experience with a track record in complex applications.
    Adept at code optimization and issue resolution.
    Excellent problem-solving skills with the ability to independently resolve critical technical issues.
    Proficient in code versioning tools like Git, Mercurial, or SVN.
    Familiarity with continuous integration processes.
    Knowledge of AI frameworks such as PyTorch, ONNX, and Triton is a plus.

    Keywords:

    Machine Learning Engineer, AI SDK development, deep learning, Python, C++, AI framework, hardware design, performance optimization, code optimization, continuous integration, AI frameworks.

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