Swiss-Mile Robotics AG is a deep-tech startup that connects AI with the physical world through autonomous wheeled-legged robots. These robots are designed to revolutionize monitoring, security, logistics applications, and beyond. Backed by leading global venture capitalists, we are on a mission to enhance our team with world-class talent. Join our innovative team, renowned for pioneering robotic design and neural network applications in robotics that improve environmental understanding and decision-making. With a robust research foundation and notable contributions from ETH Zurich, we are leaders in translating artificial intelligence and robotics into practical, real-world applications. We are looking for a passionate AI Engineer with expertise in Reinforcement Learning, Imitation Learning, or Computer Vision to join our dynamic team. In this role, you will work at the intersection of robotics and AI, developing algorithms that empower robots to perceive, learn, and adapt to their environments. Your contributions will directly shape the capabilities of next-generation intelligent systems.
What you’ll be doing
Design, implement, and optimize AI algorithms in Reinforcement Learning, Imitation Learning, or Computer Vision for real-world robotic applications.
Develop and train models to improve perception, decision-making, and control systems in robotic platforms.
Work on tasks such as object recognition, semantic segmentation, scene understanding, and sensor fusion.
Prototype, test, and refine algorithms in both simulated and physical environments.
Collaborate with cross-functional teams to integrate AI solutions with robotic hardware and software systems.
Stay current with advancements in AI and robotics, applying state-of-the-art techniques to ongoing projects.
Document and communicate research and development progress effectively to technical and non-technical stakeholders.
What you must have
Master’s in Computer Science, Robotics, AI, or related fields.
Proven experience in one or more of the following areas: Reinforcement Learning, Imitation Learning, or Computer Vision.
Strong programming skills in Python (and ideally C++) as well as familiarity with machine learning frameworks like PyTorch.
Familiarity with simulation tools such as Isaac Sim.
Demonstrated problem-solving skills and the ability to work both independently and as part of a team.
Get some bonus points
PhD in Computer Science, Robotics, AI, or related fields.
Hands-on experience with robotics frameworks such as ROS2 is highly desirable.
Understanding of deploying AI models on embedded systems or edge devices is a plus.
Please note that this is a permanent job opening, as we believe that exceptional individuals will always be able to make a difference in our team. We are looking forward to receive your application.
