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In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.
The objective of this internship is to solve industry problems in aviation and defence using reinforcement learning trained agents. You will work on adapting existing reinforcement learning-trained models and optimising their performances in different environments. Through this internship, you will gain experience in the use of reinforcement learning agents in the fields of defence and air traffic management.
Responsibilities:
Collaborate with internal users to determine the requirements of the trained model
Create realistic environments to train reinforcement learning models
Adapt existing models and generalise them for use in different environments
Develop frameworks to automate the model training and deployment process
Keep up with breakthroughs in the field of reinforcement learning
Key Requirements:
Experience with deep learning libraries (e.g., PyTorch, Tensorflow)
Interest or experience in reinforcement learning techniques
Interest or experience with machine-learning operations for fast iteration
Proficient in shell scripting and Python programming
Strong team collaboration skills
Expected Outcomes:
A working reinforcement learning model demonstrating adaptability in multiple environments
Presentation of findings through various forms, including but not limited to live demonstrations, videos, and workshop presentations
