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    Machine Learning Engineer - Santa Clara, CA, United States - Kuraray America, Inc.

    Kuraray America, Inc.
    Kuraray America, Inc. Santa Clara, CA, United States

    1 week ago

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    Description
    We are CARIAD , an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun.

    To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year.

    We're looking for talented, digital minds like you to help us create code that moves the world. Together with you, we'll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it.

    The Engineer ML/CV position is responsible for designing, owning and developing computer vision applications by leveraging machine learning and deep learning methods.

    The Engineer ML/CV will contribute by introducing novel approaches to develop and continuously improve a new approach for intelligent object detection in the vehicle and machine learning applications in the cloud-based big data platform.

    Research and develop cutting edge machine learning algorithms for perception problems such as semantic segmentation and object detection, to be used in the online perception system
    Work on the deployment of these models to a fleet of vehicles
    Guide the development of CV algorithms from prototype to production - including training on large scale datasets, and deploying on a real time robotic platform
    Work with a growing team of machine learning experts and software developers to develop novel solutions to challenging problems

    Monitor compliance with relevant local regulations, statutes, Board Directives, process standards (including in respect of Golden Rules and Product Compliance), procedural/operating instructions and occupational safety regulations using appropriate management controls (dual-control principle).

    Identify and mitigate project technology risks and execution risks
    Master degree/Phd with 3+ years of professional experience in Computer Vision, machine learning or a related field
    3+ years of professional experience coding in Python and/or C++
    MSc in computer science, robotics, or a similar quantitative area with exposure to computer vision techniques

    PhD and relevant publications and/or patents

    Experience in developing software for ML-CV
    3+ years of experience working with deep learning frameworks such as PyTorch and Tensorflow
    Good knowledge of classical CV algorithms and deep learning for object detection, tracking, semantic segmentation and active learning
    Strong oral and written communication skills in English
    First-author publications in the top notch journals in the field
    Prior experience with autonomous driving, sensor fusion or computer vision at scale
    Expertise in probabilistic modeling, Bayesian methods, model compression, imitation learning, planning under uncertainty and/or low-level inference is a plus
    Travel to worldwide locations required

    Salary range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training.

    We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.


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