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Reinforcement Learning Research Engineer (Junior/Senior)

  • 60.000,00 Euro €
  • Veröffentlichungsdatum: 12/04/2021
    • Innere Stadt, Wien, Wien, Österreich

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

Job description
• 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

Who we are looking for
• 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

What we offer
• 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

Job Types: Full-time, Part-time (30h)
Salary: 45.000€ to 65.000€ per year based on full-time

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