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.

• 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

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

We offer

• International team
• A friendly environment without a corporate approach
• Work with AI researchers and developers of very successful games
• Modern and comfortable offices in Prague (Orangeria – https://oranzerie.cz/ ) with coffee, tea, healthy snacks, and much more!
• Unlimited home office
• Possibility of (fully) remote cooperation, or a relocation package
• 5 weeks of vacation
• Unlimited sick days
• Company breakfasts and other company events (BBQ, parties, workshops,…)
• Dedicated time for studying

• 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