
Linear Logic helps teams turn raw data into production-ready machine learning models by streamlining annotation, model training, and debugging. The platform combines AI supervision and active…

Linear Logic helps teams turn raw data into production-ready machine learning models by streamlining annotation, model training, and debugging. The platform combines AI supervision and active…
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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 :
General Requirements :
Technical Expertise (Preferred) :
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.