Internship Research Engineer - Reinforcement Learning

About Us

Linear Logic builds autonomous solutions for unmanned systems. Located in Amsterdam, we offer a unique opportunity for students to gain hands-on experience and contribute to the development of our AI-powered technologies that support democratic values. Join us and be part of an exciting journey filled with opportunities for learning and professional growth.

Position Overview

We are seeking a talented student with a passion for Reinforcement Learning to join our team. In this internship/co-op role, you will work closely with our experienced AI and robotics experts to design, implement, and evaluate reinforcement learning algorithms for our Unmanned Aerial Vehicles (UAVs). You will have the chance to apply your knowledge of deep learning, Markov Decision Processes, and reinforcement learning techniques to enhance the decision-making capabilities and autonomy of our unmanned systems. This is an excellent opportunity to gain practical experience in a fast-paced, innovative environment and contribute to the development of cutting-edge AI solutions.

The day-to-day

You’ll design, train, and deploy reinforcement learning agents into high-performance runtime systems, powering real-time autonomous decision-making in flight.

You’ll advance our reinforcement learning stack by implementing, refining, and extending state-of-the-art techniques in multi-agent reinforcement learning.

In addition to your development work, you’ll reimplement and optimize cutting-edge research papers, turning the latest academic advances into production-ready solutions.

Key Responsibilities :

• Assist in the development and testing of reinforcement learning models for autonomous UAV control and navigation.
• Collaborate with the AI and robotics team to integrate reinforcement learning algorithms into our unmanned systems.
• Participate in code reviews, documentation, and knowledge-sharing within the team.
• Contribute to the ongoing research and development of AI-powered technologies for unmanned systems.

General Requirements :

• Currently enrolled in a Master's or Ph.D. program in Computer Science, Electrical Engineering, or a related STEM field.
• This position requires working on-site.
• Strong background in machine learning, with a particular focus on reinforcement learning.
• Proficient in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Excellent problem-solving and analytical skills.
• You are a EU/EEA citizen.

Technical Expertise (Preferred) :

• Experience with reinforcement learning algorithms.
• Knowledge of computer vision, sensor fusion, and control theory.
• Familiarity with Ardupilot and the MAVLink protocol.
• Understanding of aerodynamical principles and their impact on autonomous flight.



How to Apply

If you are a talented student eager to gain practical experience in AI reinforcement learning and contribute to the development of autonomous unmanned systems, we encourage you to apply. Please send your resume, a cover letter detailing your relevant experience, and a brief statement of your research interests to apply@linearlogic.ai.