AI Engineer for Robotic Multi-Agent Systems

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.

How we imagine the ideal colleague

• 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

We offer

• Great team!


• Effective development & processes not delayed by bureaucracy


• Work on a product with an ambition for being novel


• Opportunity to make a significant impact


• Healthy work-life balance and five weeks of paid holidays


• Unlimited sick days (we trust our people)


• Unique working environment – Oranzerie


• 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


• Family-friendly


• Team socialization – games, parties, outdoor activities, trips. Bring your family members!


• Talent development and long career rewards – time dedicated 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

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

Start date: Q3 or upon agreement

Type: Full-time

Location: Prague, Czech Republic - Remote collaboration possible