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Senior Reinforcement Learning Engineer

ApptronikAustin, TX
On-site Full-time

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Experience Level

Senior

Qualifications

To excel in this role, you should possess a strong background in machine learning, particularly in reinforcement learning techniques. A proven track record of developing algorithms using Python or C++ is essential. Familiarity with deep learning frameworks such as TensorFlow or PyTorch is highly desirable. We are looking for candidates with a Bachelor’s or Master's degree in Computer Science, Robotics, or a related field, along with excellent problem-solving skills and the ability to work collaboratively in a dynamic environment.

About the job

Join Apptronik as a Senior Reinforcement Learning Engineer and be at the forefront of innovation in robotics. In this pivotal role, you will design, develop, and implement advanced reinforcement learning algorithms that empower our robotic systems to learn and adapt in real-time environments. Collaborate with a talented team of engineers and researchers to push the boundaries of what is possible in autonomous robotic applications.

About Apptronik

Apptronik is a pioneering company based in Austin, Texas, specializing in robotics and intelligent automation. We are committed to creating cutting-edge robotic solutions that enhance human capabilities and improve efficiency across various industries. With a focus on innovation and excellence, Apptronik is a leader in the field, fostering a culture of creativity and collaboration.

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