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You will tackle complex inventory planning challenges using Reinforcement Learning, contributing both to the theoretical aspect of the field and its practical applications. We value innovative thinking and the ability to approach problems from new perspectives.
Key job responsibilities
* Design, implement, and evaluate innovative models, agents, and software prototypes.
* Collaborate with a team of experienced scientists to drive technological advancements.
* Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.
- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
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