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    Senior Robotics Research Engineer - Mountain View, United States - Oho Group Ltd

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    Description

    A Humanoid Robotics start-up who has been backed with more then $100m from places such as OpenAI is looking for a Research Engineer to help develop full-stack infrastructure for simulation, data management, and learning as well as developing algorithms to improve sample-efficiency of visuomotor policies.

    We are looking for senior-level candidates who have experience training deep neural networks for manipulation, navigation, and locomotion on real robot hardware.

    As a member of the team, you'll be pivotal in expanding the capabilities of robots by deploying code across various customer sites.

    Responsibilities:

    • Enhancing datasets for comprehensive training in navigation, manipulation, and locomotion
    • Extending the "data engine" to streamline data review, cleaning, and labeling processes
    • Training and assessing mobile manipulation policies within simulated environments
    • Bridging the gap between simulation and reality to expedite development cycles
    • Collaborating with our robot operations team to elevate dataset and model capacities

    Job Requirements:

    • A Bachelor's degree in Computer Science or equivalent from a Top University (Ivy League)
    • 5+ years of hands-on experience in robotic machine learning
    • Track record of published research in esteemed ML conferences
    • Proficiency in Python, including extensive codebase navigation and testing
    • Ability to swiftly prototype concepts independently
    • Familiarity with linear algebra and supervised ML techniques
    • Proficient in Deep Learning Frameworks (e.g., Pytorch, TensorFlow, JAX)

    Desired Qualities:

    • A quick thinker and learner
    • Equally adept at groundbreaking ML research and practical deployment tasks
    • Sound judgement in framing research challenges and infrastructure development
    • Diligence and meticulous attention to detail

    Added Advantages:

    • Experience with ROS/ROS2
    • Demonstrated ability in developing large-scale projects, possibly open-source
    • Proficiency in training large-scale ML models like visual foundation models or generative models at pixel level
    • Active engagement in communities like r/LocalLLaMA and experimentation with open-source LLM technology

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