Infrastructure Engineer for Deep Learning

Prague, Czech Republic (remote work possible)

We are looking for a skilled software engineer that will ensure the development and maintenance of infrastructure needed for running deep learning experiments across a range of computing platforms, including a local cluster and remote cloud deployments. It is beneficial if the engineer can set up a deep learning pipeline based on requirements provided by a researcher.


  • Develop and maintain research infrastructure for AI development.
  • Support experiment deployments on a local cluster.
  • Develop and maintain infrastructure for the deployment of experiments on cloud services (AWS, Google Cloud).
  • Work with researchers to scale up deep learning experiments.
  • Develop and set up experiment infrastructure.
  • Help to convert successful experimental ideas into stable, ambitious solutions.
  • (Optional) Web interfaces for the research infrastructure


  • 5+ years professional experience as a software engineer
  • Experience with back-end development and operations (cloud-based setup and deployment, continuous integration, monitoring, Docker, …)
  • Experience with the development and operations of distributed systems
  • Python, git
  • Willingness to learn new technologies
  • Responsibility, strong organizational and time management skills
  • Friendly, curious, creative personality
  • Very good communication skills – in English (working in an international team)

Considered a plus

  • Masters or Ph.D. in Computer Science, AI, Engineering, Statistics, Mathematics, Operations Research or another relevant scientific field
  • Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow, …)
  • Experience with distributed learning libraries (PyTorch Lightning, HuggingFace Accelerate, Ray, ..)
  • MongoDB
  • Basic Web Development experience
  • Good knowledge of the current AI landscape and its trends, with emphasis on meta-learning
  • Awareness of game-related AI techniques and concepts
  • Familiarity with game development


  • Great team!
  • Effective development & processes not delayed by bureaucracy
  • Work on the most exciting scientific challenge: general artificial intelligence
  • Ability to present your work at major AI conferences
  • Healthy work-life balance and five weeks of paid holidays
  • Unlimited sick days (we trust our people)
  • Remote collaboration is the norm – take home office anytime you want or work from another country
  • Relocation package
  • Competitive compensation and a generous bonus model
  • Stock options
  • Comfortable working environment – Oranzerie
  • Family-friendly
  • Team socialization – games, parties, outdoor activities, trips. Bring your family members!
  • Talent development and long career rewards – one day every few weeks dedicated just for study.
  • Company-paid online and offline education courses, books and magazines, participation at industry conferences and workshops
  • Studio cafeteria with free coffee and healthy fruit days

Apply now

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