
Research Intern – Reinforcement Learning
We are looking for an intern with a broad knowledge of machine learning and software development techniques to help design and implement a cutting-edge AI platform. This person will work on designing, implementing and maintaining various machine learning, deep learning and reinforcement learning codes. Quick Proof of Concept (POC) feature ownership around Deep Learning, mixed with traditional approaches. POCs typically result in rich experience for the organization and help us evaluate the feasibility of projects. Algorithm development around some key research areas in machine learning.
Must be currently enrolled in a PhD program in Computer Science or a related STEM field.
Hands on experience working with AI frameworks is a plus
Demonstrated ability to develop original ideas.
Tensorflow
Pytorch
Communication
Resolving issues
Detail Oriented
According to JobzMall, the average salary range for a Research Intern – Reinforcement Learning in Central Berkeley, Berkeley, CA, USA is $85,000 to $95,000. This range may vary depending on the company, location, and other factors.
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