AI Engineer for Robotic Multi-Agent Systems

Location: Prague, Czech Republic (remote work possible)

Do you have a passion for Artificial Intelligence, robotics and creative projects such as video games? Do you like challenges? Then join our GoodAI team! Your focus will be on developing and controlling a simulated multi-agent system with the next step transferring to real hardware. You will also have an opportunity to work on a range of projects, from building prototypes and scaling up experiments in the research team, to end-to-end development of a new AI game.

Responsibilities

  • Test the developed algorithms, deploy them on a real HW and validate in the wild
  • Maintain the HW (UAVs)
  • Prototype and develop collective intelligence in simulation and in hardware
  • Contribute to the development of AI across projects (Badger, novel games, …) from an engineering perspective
  • Implement state-of-the-art AI algorithms
  • Develop and set up experiment infrastructure
  • Help to convert successful experimental ideas into stable, ambitious solutions

Requirements

  • Experience with Robot Operating System (ROS), Gazebo
  • Experience with autonomy in Unmanned Aerial Vehicles (UAVs), mobile robotics
  • Experience with Simultaneous Localization and Mapping (SLAM) and its use for motion planning
  • Experience with edge computing
  • 3D path planning, obstacle avoidance
  • Advanced vision processing
  • Experience with robotics applications and a working knowledge of control theory
  • Experience with multi-agent learning and optimization algorithms (swarm, boids, etc.)
  • Excellent programming skills (C++, Python, etc) and ability to prototype fast
  • Ability to read and understand AI-related scientific papers
  • Willingness to learn new technologies
  • Responsible, strong organizational and time management skills
  • Friendly, curious, creative personality
  • Very good communication skills – in English (working in an international team)

Considered a plus

  • Experience with implementing multi-agent decision making in video games, including knowledge of existing game engines
  • Masters or PhD in Computer Science, Robotics, Cybernetics, AI, Engineering, Statistics, Mathematics, Operations Research or other relevant scientific field
  • Understanding and experience with AI and Machine Learning algorithms and methods with emphasis on modern deep learning frameworks (e.g. PyTorch, TensorFlow, …)
  • Experience with the development and operations of distributed systems
  • Good knowledge of the current AI landscape and its trends, with emphasis on collective learning and planning
  • Experience with  game-related AI techniques and concepts
  • Experience with Unity or Unreal Engine
  • Experience with back-end development and operations (cloud-based setup and deployment, monitoring, …)
  • Familiarity with game development

Team Culture

  • Results-oriented: We measure ourselves only by our results
  • No limits: We can achieve anything; we are pushing our limits in technology and art
  • Integrity: We have the courage to do the right thing, regardless of the consequences and the inconvenience
  • Extreme ownership: It does not matter if you are a leader or an individual contributor Every team member accepts accountability and equal responsibility for our collaborative effort
  • Excellence in execution: Our teams aim for excellence in everything we do – we get what we tolerate
  • Simplicity in design: Less is better; avoid feature creep; simplicity is the ultimate sophistication
  • Teamwork: We treat our colleagues with respect, supporting each other throughout to ensure we maximize the value for everyone while creating an atmosphere of trust

Benefits

  • 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
  • Regular company lunches and outside grills

Type: Full-time

Possible start: Immediately or upon discussion

Location: Prague, Czech Republic (remote work possible)

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