Reinforcement Learning Specialist - Deep

Reinforcement Learning Specialist - Deep Perception for Advanced Robotics

We are seeking a highly motivated and skilled Reinforcement Learning (RL) Specialist to join our growing team and develop cutting-edge deep perception algorithms for our advanced robotics platforms. You will play a key role in enabling our robots to navigate complex environments, interact intelligently, and ultimately contribute to the advancement of our fleet management and swarm robotics capabilities. This role offers the opportunity to work on challenging problems at the forefront of robotics research and development, with the potential to make a significant impact on the future of automation

Responsibilities:
- Design, develop, and implement reinforcement learning algorithms for deep perception tasks in robotics.
- Research and evaluate state-of-the-art RL and Deep Learning techniques for perception, navigation, and control.
- Develop robust and efficient deep learning models for object detection, scene understanding, and other perception-related tasks.
- Integrate perception algorithms with robot control systems for fleet management and swarm robotics applications.
- Train and optimize deep learning models using large datasets and cloud-based computing resources.
- Collaborate with other engineers and researchers to develop and test integrated robotic systems.
- Contribute to the development of our internal software libraries and tools.
- Stay up-to-date with the latest advancements in reinforcement learning, deep learning, and robotics.
- Document and present research findings and development progress.

Qualifications:
- Master's or Ph.D. in Computer Science, Robotics, or a related field with a focus on Reinforcement Learning and Deep Learning.
- Proven experience in developing and implementing reinforcement learning algorithms for real-world applications.
- Strong understanding of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their application to perception tasks.
- Excellent programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with 1 robotics software frameworks ROS2 is a plus.
- Familiarity with simulation environments for robotics (e.g., Gazebo, NVIDIA ISAAC SIM) is desirable.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- A passion for robotics and a desire to push the boundaries of what's possible.

Bonus Points:
- Experience with fleet management or swarm robotics.
- Publications in top-tier conferences or journals related to reinforcement learning or robotics.
- Contributions to open-source robotics projects.

BENEFITS:

Be at the epicenter of the Autonomous Robots revolution.
Work on cutting-edge goods and difficult issues with some really talented (and entertaining) individuals.
Work on cutting edge hardware

CONTACT:

Email: contact@leonlegion.com