Job DescriptionApply cutting edge research in Artificial Intelligence and Reinforcement Learning (RL) to real-world optimization and decision problems. Build the open-source framework Maze, making RL technology accessible to the industry and developer community.Extend and contribute building blocks and methodology to our open-source framework Maze, focused on simulation-based RL, together with an exceptional team of research scientists, Machine Learning engineers and infrastructure expertsAnalyze industry related 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
Apply cutting edge research in Artificial Intelligence and Reinforcement Learning (RL) to real-world optimization and decision problems. Build the open-source framework Maze, making RL technology accessible to the industry and developer community.
Extend and contribute building blocks and methodology to our open-source framework Maze, focused on simulation-based RL, together with an exceptional team of research scientists, Machine Learning engineers and infrastructure experts
Analyze industry related 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 RL-ready simulations (environments) as well as RL agents
Review state-of-the-art literature and judge its relevance for practical applicability
Work on smaller projects in different team settings on different Machine Learning challenges over time to facilitate knowledge transfer
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
Self-driven problem solver who enjoys coding as much as tinkering
Ability to work independently as well as part of a team
Degree in computer science (BSc, MSc or PhD) or in a similar field
Valid work permit for Austria
Enthusiastic, research-driven team with rich expertise in Machine Learning, Computer Vision, Generative Adversarial Networks, Reinforcement Learning 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)
Perks, e.g. time allotment for the free pursuit of individual R&D projects, training or conference participations, hosting of meetups
People first company culture, where we nurture your talents
Great office location in Vienna's 1st district
Continuous trainings and education
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