Advance your career by gaining hands-on experience at Sarcomere Dynamics as a Machine Learning Resident focused on robotic manipulation. Collaborate with expert scientists and refine AI algorithms over a 12-month paid residency.

This unique opportunity at Sarcomere Dynamics involves working within a cross-functional team specializing in ML research and software engineering. As a Resident, you will engage with world-class scientists and tackle real-world robotic challenges, focusing on enhancing object manipulation tasks through machine learning techniques. Your contributions may lead to future employment with Sarcomere Dynamics upon successful project completion.

Key Responsibilities:
• Develop and optimize robot manipulation policies for industrial tasks
• Build sim-to-real learning pipelines augmenting robot demonstrations




• Design domain randomization and data augmentation strategies
• Analyze distribution gaps between simulated and real demonstrations
• Train robot manipulation policies using diverse datasets

Requirements:
• MSc or PhD in relevant fields including Robotics
• Solid knowledge of machine learning fundamentals
• Experience with Python libraries like PyTorch or TensorFlow
• Familiarity with multimodal datasets and robotics hardware
• Legal eligibility to work in Canada

Dive into the world of robotics and AI while working on impactful solutions at Sarcomere Dynamics.
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📌 Machine Learning Residency in Robotics (Alberta)
🏢 RGIT Australia
📍 Alberta