Machine Learning Engineer (Robotics, AI)

TL;DR

Machine Learning Engineer (Robotics, AI): Develop and deploy machine learning models with a focus on deep learning, reinforcement learning, and simulation-to-reality transfer for real-world robotics and control systems. Focus on building intelligent systems that learn in simulation and perform in the real world by solving complex, system-level challenges.

Location: Remote within Europe (similar time zone to Zurich, Milan, Rome) or Onsite in Zurich, Switzerland.

Company

AlumniHub is building an AI-powered robotics platform that abstracts away hardware complexity, empowering developers to build, deploy, and scale robotic applications.

What you will do

• Develop deep learning and reinforcement learning policies for perception, control, and decision-making in robotics.
• Design and optimize ML/DL models for high-dimensional, dynamic, and noisy real-world robotics environments.
• Develop advanced reinforcement learning agents in simulated environments such as MuJoCo, Isaac Lab/Sim, or PyBullet.
• Lead sim2real transfer efforts, leveraging domain randomization, adaptation, and robust policy learning.
• Deploy end-to-end ML pipelines integrated with robotics or embedded systems for real-time perception, decision-making, and control.
• Collaborate with simulation, hardware, and software teams to solve complex, system-level challenges.

Requirements

• Degree in Computer Science, Robotics, AI, or a related field, with a strong foundation in applied mathematics.
• 3+ years of hands-on experience developing and deploying machine learning and deep learning models using PyTorch, TensorFlow, or JAX.
• Demonstrated expertise in reinforcement learning, including implementation of algorithms like PPO, SAC, or DDPG.
• Deep understanding of sim-to-real techniques, including domain randomization, domain adaptation, and transfer learning.
• Practical experience with physics-based simulators (e.g., MuJoCo, Isaac Sim, PyBullet) and hands-on work with robotic hardware.
• Fluent in Python, with strong software engineering practices; working knowledge of C++ is essential.

Culture & Benefits

• Work on cutting-edge ML and robotics challenges that translate directly into real-world impact.
• Join a world-class, cross-disciplinary team that values innovation, curiosity, and bold thinking.
• Competitive compensation, including a strong salary package and meaningful equity options.
• Flexible work culture with support for remote work and autonomy over your schedule.
• Access to state-of-the-art simulation environments and robotic systems, from digital twins to physical platforms.