Elevate your career at Sarcomere Dynamics as a Machine Learning Resident, specializing in robotics and object manipulation. This 12-month, paid residency involves mentorship by top AI scientists.

This chance offers the chance to contribute to exciting projects focused on enhancing automation through machine learning. You will work alongside a skilled team, gaining hands-on experience in developing algorithms that enable robotic systems to perform complex tasks. A potential post-residency role with Sarcomere Dynamics may await successful residents, based on performance.

Key Responsibilities:
• Innovate robot manipulation policies to enhance productivity
• Construct sim-to-real learning frameworks for robots
• Design strategies to simulate real-world data effectively




• Address distribution discrepancies between simulations and applications
• Train and assess robotic manipulation algorithms across datasets

Requirements:
• MSc or PhD in relevant areas like Machine Learning
• Deep knowledge of machine learning and AI principles
• Skills in PyTorch, TensorFlow, or JAX
• Experience with diverse datasets in robotics
• Eligibility to work in Canada

Collaborate with leading experts to create solutions that push the boundaries of robotic capabilities at Sarcomere Dynamics.
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📌 12-Month Machine Learning Residency Program (Alberta)
🏢 RGIT Australia
📍 Alberta