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 (Edmonton)
🏢 RGIT Australia
📍 Edmonton