Reinforcement Learning Engineer at Apptronik | Austin, TX

ApptronikAustin, TX

On-site Full-time

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Experience Level

Experience

Qualifications

The ideal candidate will possess a strong background in machine learning, particularly in reinforcement learning. Proficiency in Python and experience with frameworks such as TensorFlow or PyTorch are essential. A Master's or PhD in Computer Science, Mathematics, or a related field is preferred. Strong analytical skills and the ability to work collaboratively in a team-oriented environment are crucial.

About the job

Join Apptronik as a Reinforcement Learning Engineer and contribute to cutting-edge projects that push the boundaries of artificial intelligence. In this role, you will develop algorithms and systems that enhance the capabilities of robotic systems through reinforcement learning techniques.

About Apptronik

Apptronik is at the forefront of robotics and AI technology, committed to creating innovative solutions that enhance human capabilities. Our team is composed of passionate engineers and researchers dedicated to making robots smarter and more efficient. Join us in shaping the future of automation.

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Reinforcement Learning Engineer at Apptronik | Austin, TX

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