• Machine Learning Engineer

    ManpowerGroupSan Jose, CA 95115

    Job #2684817205

  • As an AI/ML Systems Engineer you will contribute to the development of new architectures and products using Client's next generation Memory/Storage solutions for Client's Mobile Customers.

    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.

    Successful candidate for this position will have the following:

    • 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.

    If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

    About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

    ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

    ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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