Autonomy Engineer Intern, Reinforcement Learning, 2027 (Zurich)

Overview

Skydio offers an internship position for an Autonomy Engineer Intern specializing in Reinforcement Learning for the year 2027. The role is based in Zurich, Switzerland. The position focuses on developing and deploying reinforcement learning and adjacent policy-learning methods to improve the autonomy, safety, reliability, and efficiency of aircraft navigation, planning, and control across applications including inspection, public safety, defense, and cinematography. Interns have the opportunity to test their research on production-ready aircraft and edge compute.

Who can apply

Applicants must be PhD students in Robotics, Machine Learning, Controls, or a related field. Visa sponsorship may be offered for suitable candidates.

Requirements

Candidates must have strong fundamentals in reinforcement learning, control theory, and motion planning, alongside comfort with safety and robustness concepts. Proficiency in Python using PyTorch, JAX, or Ray RLlib, as well as proficiency in at least one of C++ or CUDA, is required. Applicants need hands-on experience with robotics simulation tools such as Isaac Lab, MuJoCo, or PyBullet, alongside sim-to-real techniques. Practical experience in training and deploying policies for navigation, manipulation, or locomotion on real robots or autonomous vehicles is also necessary.

What you get

The hourly rate for this position is 70 USD per hour for PhD students. Compensation varies based on skill level, proficiencies, transferable knowledge, and experience.