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Machine Learning Engineer (Planning Real-Time Systems)

NxT Level

Machine Learning Engineer (Planning Real-Time Systems)

Seattle, WA
Paid
  • Responsibilities

    Our Client is working on improving transportation as we know it today. They are founded by three of the world’s largest leaders of self-driving cars. Their goal is to build the future of transportation.

    We are searching for Planning & Controls engineers. He/She will help develop and implement core algorithms for making intelligent driving decisions in complex environments.

    Responsibilities

    • Develop motion planning algorithms for comfortable and safe trajectories for a self-driving vehicle
    • Develop policies and plans to manage multi-actor interactions and plans under uncertainty
    • Model vehicle and controller dynamics and use these models to characterize and accelerate controller improvements
    • Develop and implement production-grade algorithms.
    • Build learning approaches that adapt the above algorithms in the presence of data

    Essential

    • BS, MS, or in Robotics, Computer Science or related field
    • Strong C++ programming and software design skills
    • Familiarity with modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques
    • Knowledge of machine learning and the interplay between learning and decision making

    Desirable

    • Experience in designing and building state of the art machine learning algorithms
    • Experience with adaptive control, system identification, and statistical and machine learning methods
    • Experience with embedded Linux and real-time systems