Senior Computer Vision Engineer

Who We Are

At Rankacy AI, we're not your average tech company - we're the ones training AI models on over 500TB of gaming data while others are still using pre-trained models and calling it innovation. We've built AI systems that analyze millions of Counter-Strike scenarios, serving tens of thousands of users who demand real-time insights. Our secret sauce? PhD researchers who've traded academic comfort for startup adrenaline, working alongside battle-tested engineers who solve problems others won't even attempt.
Now we're ready for the next frontier: computer vision.

What You'll Be Doing 🔍

• Building Vision Systems – Design, train, and deploy computer vision models for game analysis, action recognition, and tactical understanding
• Transformer Mastery – Implement and optimize transformer architectures (video-focused and multimodal models) for our specific use cases
• Training at Scale – Develop models on massive gaming datasets using our custom training infrastructure. You'll have serious compute and PhD researchers to collaborate with
• Production Engineering – Take models from research to production. Optimize inference, handle edge cases, ensure reliability for thousands of concurrent users
• Pushing Boundaries – Contribute to technical architecture decisions and help define our computer vision roadmap across gaming and defence applications

Key Challenges 🔧

• Real-Time Performance – Processing high-resolution game footage with complex transformer models while maintaining sub-second latency
• Domain Adaptation – Making vision transformers work for gaming scenarios that differ significantly from standard datasets
• Scale vs. Speed – Balancing model complexity with training time and inference costs when working with millions of scenarios
• Multimodal Fusion – Combining visual information with game state data, player actions, and temporal context for intelligent analysis

What You Need to Bring 🚀

• Deep Computer Vision Expertise – You've built and shipped production CV systems. You understand CNNs, transformers, attention mechanisms, and when to use each
• Python & ML Frameworks – PyTorch or TensorFlow mastery. You can implement architectures from papers and debug training dynamics
• Production Mindset – You've deployed models real users depend on. You think about latency, throughput, error handling, and monitoring
• Systems Thinking – You understand the full stack from data pipelines to model serving
• Bonus Points – Action recognition, 3D computer vision, published research, gaming/esports background

Our Offer 💰

• Work Setup: Full-time/Part-time, onsite in Ostrava or remote
• Team: High-talent-density environment with PhD researchers and senior engineers who challenge you to go deeper
• Growth: Worldwide conference attendance, exposure to cutting-edge AI, leadership development options
• Technical Freedom: Serious compute, our own training infrastructure and deployment systems, autonomy to work on the full vertical
• Compensation: Competitive salary based on experience, plus performance bonuses
  Impact: Your models will power products used by tens of thousands of gamers and high-stakes defence applications
• Culture: No corporate BS, technical depth over politics, and the satisfaction of bridging gaming and defence - two domains where performance and precision actually matter

Ready to build computer vision systems that matter? Apply! We'll review it within three business days.