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 prospect 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 - Robust 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.#J-18808-Ljbffr

📌 Machine Learning Residency In Robotics Winnipeg
🏢 RGIT Australia
📍 Winnipeg