Researcher in Application-oriented Reinforcement

vor 2 Wochen

Wien, Wien, Österreich EnliteAI GmbH Vollzeit
Tasks

  • Assume responsibility in international and national research projects
  • Contribute building blocks and methodology based on our opensource framework Maze, focused on simulationbased RL, together with an exceptional team of Research Scientists, Machine Learning Engineers and Infrastructure Experts
  • Analyze industryrelated optimization and decision problems and translate them into Machine Learning systems (covering the complete development cycle from simulation engineering up to agent development, training and deployment)
  • Design and implement proof of concepts, develop prototypes in Python and PyTorch for both RLready simulations (environments) as well as RL agents
  • Review stateoftheart literature and judge its relevance for practical applicability

Requirements:

  • Strong background in the field of RL and related Machine Learning disciplines
  • Excellent Python programming skills, knowledge of PyTorch and a wide range of Machine Learning methods
  • Passionate about all things, AI, Machine Learning and Data Science
  • Selfdriven problem solver who enjoys coding as much as tinkering
  • Ability to work independently as well as part of a team
  • Degree in computer science (MSc or Ph.
D.) or in a similar field

  • Valid work permit for Austria

Benefits:

  • Enthusiastic, researchdriven team with rich expertise in Reinforcement Learning and Computer Vision as well as distributed training, data engineering, ML ops and cloud architecture
  • Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
  • Flexible work models: Remote work, an office in Vienna's 1st district and mínimal core hours
  • Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

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