Are you fascinated by the intersection of artificial intelligence and space exploration? Do you dream of developing intelligent systems that can navigate autonomously through the vastness of space? If so, we have an exhilarating opportunity for you to join our team as a Reinforcement Learning Engineer and play a pivotal role in training satellites to become intelligent, autonomous agents in orbit.
Role Overview
As a Reinforcement Learning Engineer at our spacecraft company, you will spearhead the development of advanced algorithms and models to enable satellites to navigate autonomously and intelligently in space. You will leverage state-of-the-art reinforcement learning techniques to train satellites to perform complex tasks, such as pointing to ground stations, adjusting their orbits, and optimizing their trajectories, all while maximizing mission objectives and efficiency.
Key Responsibilities
- Use already available ML frameworks to implement reinforcement learning algorithms and architectures tailored to the unique challenges of autonomous satellite navigation.
- Develop physics-rich simulation environments (with Earth, moon, satellites, etc) using tools such as Unity3D to model satellite dynamics, orbital maneuvres, and environmental factors.
- Utilize Python, C++, and other relevant programming languages to implement and optimize reinforcement learning models for real-time satellite control.
- Collaborate closely with satellite engineers to integrate learning-based navigation systems into satellite hardware and onboard software.
- Conduct extensive experimentation and evaluation to validate the performance, robustness, and safety of autonomous navigation algorithms in simulated and real-world environments.
- Stay abreast of the latest advancements in reinforcement learning, machine learning, and space technology to drive innovation and push the boundaries of autonomous satellite navigation.
Qualifications:
- Some experience with machine learning. Having used Unity's ML-agents or similar would be a plus.
- Proficiency in programming languages such as Python, C++, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
- Experience with simulation environments such as Unity or similar tools for modeling environments.
- Passion for space exploration and a desire to push the boundaries of what's possible with autonomous satellite technology.
Benefits
- Competitive salary and benefits package.
- Opportunity to work on groundbreaking projects at the forefront of space exploration.
- Collaborative and humane work environment where you can learn and grow
- Access to cutting-edge tools and technologies to support your research and development efforts.
If you're ready to revolutionize satellite navigation and shape the future of space exploration with your expertise in reinforcement learning and artificial intelligence, we invite you to apply for this exciting role. Join us on our mission to unlock the full potential of autonomous satellite systems and pave the way for a new era of space exploration. Apply now and embark on a journey to transform science fiction into reality!
