About the job
Who We Are:
At sereact, we are pioneering the development of intelligent robotic systems that can perceive, reason, and operate in real-world environments, transitioning from laboratory innovations to practical applications in industrial settings such as warehouses and factories. Our mission is to bridge the automation gaps that conventional systems cannot address, fundamentally transforming the nature of physical work. We seek inquisitive and bold thinkers to join us in reshaping the future of robotics.
Overview:
As an Imitation Learning Researcher, you will be at the forefront of advancing cutting-edge imitation learning algorithms and methodologies. Your role will involve designing experiments, creating datasets, and developing models that empower systems to replicate human decision-making processes in real-world contexts. You will collaborate closely with interdisciplinary teams to translate your findings into tangible applications.
Your Responsibilities:
Design
Craft and implement sophisticated imitation learning algorithms.
Develop, test, and deploy models using Python, C++, TensorRT, and GGUF.
Optimize
Analyze and preprocess datasets to train models effectively.
Conduct experiments to assess model performance and enhance robustness.
Collaborate with fellow researchers and engineers to integrate solutions into comprehensive systems.

