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.

📌 12-Month Machine Learning Residency Program (Edmonton)
🏢 RGIT Australia
📍 Edmonton