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    Machine Learning Researcher - British Columbia, Canada - Acceler8 Talent

    Acceler8 Talent
    Acceler8 Talent British Columbia, Canada

    1 week ago

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    Description

    About Us

    Our vision is clear: to engineer and innovate robotics that not only enhance but redefine dexterity. As a Robotics Scientist within our ranks, you'll be tapping into the most cutting-edge methods, developing training systems, and implementing algorithms that bring robotic manipulation into the realm of art.

    The Role:

    In your role as an ML Scientist, Robotic Manipulation, you'll craft the future with your expertise. Your day-to-day will be a blend of pioneering research and hands-on implementation. You'll not only develop the algorithms that power our robots but also oversee their performance in simulations and guide them through their paces in the real world.

    Responsibilities:

    • Design and improve upon state-of-the-art Reinforcement Learning (RL) and Imitation Learning (IL) algorithms for practical robotic applications.
    • Keep pace with the frontier of RL/IL research, especially as it applies to robotics.
    • Spearhead research initiatives that promise transformative advancements in ML and robotics.
    • Enhance RL/IL learning processes with an eye on metrics that matter: sample efficiency, speed, and scalability.
    • Architect RL/IL training and data collection systems that seamlessly transition from digital to physical realms.

    Experience and Expertise:

    Your path to becoming an ML Scientist has been rigorous:

    • A Ph.D. in a field that's at the heart of our work, like Machine Learning, Computer Science, or Applied Mathematics.
    • A minimum of 5 years in the trenches of robotic manipulation, both in digital simulations and with robots that exist in the steel and circuits of our reality.
    • Hands-on practice in applying RL/IL methods with a particular focus on the tangible challenges of real-world robotics.
    • 4 years of developing large-batch, parallel simulations for RL, proving your mettle in the virtual proving grounds of AI.
    • Demonstrated success in continual learning and sim-to-real transfers that polish our robotic prowess to perfection.

    Skills:

    • Proficient in Python 3.8+, PyTorch, TensorFlow, and ROS2.
    • Solid experience with Atlassian suite or equivalent tools like GitLab.

    Traits:

    • A relentlessly positive attitude, tempered with the patience and attention to detail required for solving complex problems.
    • Strong leadership capabilities, guiding R&D efforts with clarity and purpose.
    • A zeal for tackling new challenges, paired with an unwavering tenacity.
    • The enthusiasm to imbue machines with a touch of human-like intelligence.
    • The skill to shepherd new functionalities from the drawing board to deployment.

    Keywords: Dexterous Manipulation, Robotic Manipulation, Reinforcement Learning, Imitation Learning, Robotics, Machine Learning, Python, PyTorch, TensorFlow, ROS2, Algorithm Development, Sim-to-Real, Continual Learning, Large-Batch Simulations.

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