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    Technology Engineer - United Kingdom - Samsung Electronics Perú

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    □ Engineer Machine Learning page is loaded Engineer Machine Learning
    Apply remote type Hybrid locations 10 Station Road, Cambridge, United Kingdom time type Full time posted on Posted Yesterday job requisition id R91388 Position Summary

    The Distributed AI group in SAIC Cambridge is looking for a Machine Learning Engineer to join the team and work directly with research scientists and ML engineers of diverse skill sets, supporting research efforts in the areas of embedded/distributed ML, communications and robotics.

    The person will be responsible for contributing to internal research tools, helping implementing/extending research ideas and/or realising research prototypes into demos and minimum viable products (MVPs).

    As part of the group, you will contribute to technical and system aspects of deploying embedded/distributed/mobile ML systems for cutting-edge research and real-world applications in vision and language, with the possibility of partaking in publishing academic papers and patents.

    Lastly, the candidate should have an analytical and rigorous approach and make design choices based on quantitative data.

    MS or PhD in CS/EE or equivalent experience in the industry, with key skills:

    Experience with deployment on embedded and mobile devices (ML inference and/or training)
    Experience with distributed and multi-GPU training at scale
    Fluency in Python, C/C++ and GNU Linux
    Experience in real-world (distributed) system deployment and maintenance
    Hands-on experience and understanding of networking stack and communication protocols (e.g. distributed inference/training over PAN/LAN/WLAN, software defined radio, etc.)
    Experience with practical aspects of deploying computer vision in real-world settings such as AR/VR, smart homes and robotics (e.g. camera calibration, RGB-D and/or motion-tracking sensors, multi-camera ecosystems, etc.)

    This includes all steps of the pipeline, from data collection and preprocessing to large model adaptation, fine-tuning and optimisation.

    Android Operating System and Android app development

    Contract Type :
    Permanent

    Hybrid Working:

    Employee Benefits:

    Competitive Salary, Annual Performance Bonus up to10%, Pension Scheme with company contribution up to 8.5%, Income Protection, Stocks & Shares ISA, Life Assurance, 25 days holiday (increasing to 30 with length of service).

    We also have a wide range of Flexible Benefits to choose from with Samsung providing an allowance of £600 per year to spend on them.


    • Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: . You can change Country/Language at the bottom of the page. You will be asked to create an account first if you do not already have one.
    Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere.

    Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems, and the entire semiconductor industry with our memory, system LSI, foundry, and LED solutions.

    Samsung is also leading in the development of the Internet of Things through, among others, our Smart Home and Digital Health initiatives.

    Since being established in 1969 , Samsung Electronics has grown into one of the world's leading technology companies, and become recognized as one of the top global brands.

    Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth.


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