Job Description :
Job Role: Machine Learning Intern
100% Remote role
EST or CST location candidate preferred
Master''s student doing PHD or looking for internship will work also

Skills Required:
Machine Learning
Reinforcement learning
Python Coding
Job Description:
Applications are invited for Machine Learning interns to join Client AI’s Core Machine Learning Team. The successful applicants will be based at our offices in Eastern USA and will be part of an R&D team comprising research scientists, research engineers and software developers.
We seek candidates who have the skills and research experience to join a new team to push the boundaries of pure mathematics, theoretical statistics (incl. parametric and non-parametric Bayesian statistics) and machine learning (primarily in deep reinforcement learning A proven record of publications (at least one first-author paper in reputed conferences such as NeurIPS, COLT, UAI, ICML, AISTATS, JMLR, PAMI, and others) and prototyping skills in terms of developing algorithms, in any language, is critical.

As an industry R&D laboratory, we pursue theoretical and applied research to feed into the other. Like academia, knowledge dissemination is through the publication of papers in reputed journals, conferences and workshops, and patents. We have current collaborations with world-renowned academic institutions; encouraging such industry-academia partnerships is important for research scientists.

Qualifications, skills and other information:

1. Internship applicants will generally study towards a PhD degree in computer science, engineering, statistics, mathematics, and allied disciplines. (core requirement)
2. Experience of reinforcement learning (essential) and multi-agent systems (desirable)
3. Knowledge of Bayesian statistics (desirable)
4. Hands-on experience with at least one of the following: Python, C/C++, Java, etc. (core requirement)
             

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