Co-Founder, AI/Machine Learning Researcher

About Our Company

We’re an early-stage startup on a mission to revolutionize gaming with purpose-driven AI agents. Our goal is to build immersive simulations where AI competitors interact, form alliances, and evolve complex behaviors that captivate both players and spectators. As a co-founder, you’ll be shaping the strategic and technical direction of our company from day one.

Key Responsibilities

• AI Strategy & Roadmap: Define the technical vision for AI/ML development, from proof-of-concept research to production-scale deployments.
• Model Development: Design and implement AI models (e.g., reinforcement learning, agent-based modeling) that enable dynamic, emergent gameplay in our simulation environments.
• Algorithmic Innovation: Experiment with novel approaches in multi-agent learning, game theory, and simulation-based training to push the boundaries of what AI can achieve in gaming.
• Collaboration & Leadership: Work hand-in-hand with game developers, product managers, and other stakeholders to integrate AI systems seamlessly into the user experience.
• Scalability & Performance: Ensure AI models and training pipelines are optimized for speed and reliability, using modern MLOps practices (Docker, Kubernetes, or cloud-based solutions).
• Mentorship & Team Building: Help recruit and mentor junior researchers and engineers, fostering a culture of innovation, ownership, and collaboration.
• Company Building: Collaborate with fellow co-founders on high-level decisions regarding business strategy, fundraising, and partnerships.

Qualifications

• Academic Background: Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field (or equivalent practical experience).
• Technical Expertise: Demonstrable experience with advanced ML techniques—particularly reinforcement learning, multi-agent systems, or game AI. Proficiency in frameworks like PyTorch, TensorFlow, or similar.
• Research & Development: Track record of published papers, patents, or successful projects in AI/ML. Comfortable blending theoretical rigor with pragmatic engineering approaches.
• Software Engineering Skills: Strong coding ability in Python, C , or similar languages. Familiarity with version control (Git) and modern software development practices.
• Leadership & Communication: Experience leading technical initiatives or small teams. Able to convey complex ideas clearly to both technical and non-technical audiences.
• Passion for Gaming: A genuine interest in game development, simulations, and the broader entertainment ecosystem.