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 chance 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 • Strong 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.

📌 Machine Learning Residency in Robotics (Winnipeg)
🏢 RGIT Australia
📍 Winnipeg