Join Sarcomere Dynamics as a Machine Learning Resident and immerse yourself in cutting-edge robotics projects. This 12-month paid residency offers a chance to develop impactful AI solutions with top scientists.

In this residency, you will collaborate with experts and engage in a hands-on approach to build and refine machine learning algorithms for robotic manipulation. You'll be involved in a multi-disciplinary project focusing on real-world applications and receive mentorship to enhance your skills further. Successful candidates may secure a permanent role following the residency, depending on client discretion.

Key Responsibilities:
• Evaluate and improve robot manipulation policies
• Create pipelines combining real-world and synthetic robot data




• Implement data augmentation and domain randomization techniques
• Assess distribution alignment between simulations and reality
• Benchmark and refine robot manipulation models

Requirements:
• Master’s or PhD in Computer Science or related fields
• Proficiency in machine learning principles and methodologies
• Robust experience with tools like JAX or TensorFlow
• Knowledge of real-world datasets and robotic systems
• Authorization to work in Canada

Engage in cutting-edge research and robotic solutions while being mentored by industry leaders at Sarcomere Dynamics.
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📌 Robotics Machine Learning Resident Role (Alberta)
🏢 RGIT Australia
📍 Alberta