Researcher in application-oriented Reinforcement Learning
Job title: Researcher in application-oriented Reinforcement Learning
Company: EnliteAI GmbH
Job description: Apply cutting-edge research in Artificial Intelligence and Reinforcement Learning (RL) to real-world optimization and decision problems. Work on high-impact applications such as next-generation smart power grids.Tasks
Assume responsibility in international and national research projects
Contribute building blocks and methodology based on 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
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
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 (MSc or Ph.D.) or in a similar field
Valid work permit for Austria
Benefits
Enthusiastic, research-driven 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 minimal core hours
Budget and time allotment for the pursuit of individual R&D projects, training or conference participations
EnliteAI GmbHenliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI. Detekt, one of our products, is a modern Geospatial Data Platform for object and damage detection in large scale Mobile Mapping data which had its product launch in April 2022. With our reinforcement learning solution for the energy sector we are shaping the future of smart power grids.
Expected salary: €65000 per year
Location: Wien
Job date: Thu, 17 Jul 2025 22:05:24 GMT
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