Join Sarcomere Dynamics as a Machine Learning Resident and immerse yourself in creative 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. #J-18808-Ljbffr

📌 Robotics Machine Learning Resident Role (Winnipeg)
🏢 RGIT Australia
📍 Winnipeg