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SENIOR ML AI ENGINEER (STRIKERZ)
🕹 Football simulation
🧠 Senior
💰 Negotiable
⏰ Full-time
🌎 Remote / 👔 Office (Paphos, Cyprus 🇨🇾 / Tbilisi, Georgia 🇬🇪)
🦄 Description
Strikerz is building next-generation football gaming experiences and is looking for a Senior ML AI Engineer to join the AI Assist team. In this role, you will work on realistic football player behavior modeling, helping bring the game to new platforms. You will have a key impact on shaping AI architecture, from early MVP stages to full-scale production, working at the intersection of gaming, simulation, and machine learning.
🚀 Responsibilities
• Build and train machine learning models that replicate football players’ behavior in simulated or game-like environments
• Apply imitation learning, reinforcement learning, decision transformers, and hybrid approaches for dynamic agent behavior
• Design and maintain data pipelines for training, validation, testing, and inference
• Contribute to AI system architecture as it scales from MVP to production
• Run behavior simulations to evaluate realism, tactical consistency, and learning efficiency
• Collaborate with game designers and engineers to integrate AI-driven behavior into real-time systems
📚 Required Skills
• 4+ years of professional experience in machine learning
• Strong hands-on experience with PyTorch or TensorFlow
• Practical expertise with reinforcement learning algorithms such as PPO, SAC, or DQN
• Experience with imitation learning methods like behavioral cloning or inverse reinforcement learning
• Solid understanding of sequence modeling, including RNN, LSTM, and Transformers
• Experience training models from offline datasets such as time-series or trajectory logs
• Familiarity with ML tooling including experiment tracking, configuration management, and data versioning
• Ability to build inference-ready pipelines and integrate models via APIs or engine-facing interfaces
👍 Nice to Have
• Experience integrating ML models into game engines such as Unreal Engine or Unity
• Knowledge of football tactics, roles, or player behavior modeling
• Exposure to offline reinforcement learning, GFlowNets, or world models
• Contributions to open-source projects or participation in AI competitions
• Strong debugging, visualization, and model interpretability skills
🍪 What we offer
• Competitive salary
• Medical insurance, sick leave, and social benefits
• Relocation package
• Sports compensation
• Online English classes
• Referral bonuses
• Co-working compensation
• Corporate events
• Opportunity to own and shape core AI technology in a next-gen product
• Collaboration with a small, focused, and highly technical team
🌐 Vacancy link
#gamedev #machinelearning #ai #reinforcementlearning #footballgame #simulation #remote #strikerz
🕹 Football simulation
🧠 Senior
💰 Negotiable
⏰ Full-time
🌎 Remote / 👔 Office (Paphos, Cyprus 🇨🇾 / Tbilisi, Georgia 🇬🇪)
🦄 Description
Strikerz is building next-generation football gaming experiences and is looking for a Senior ML AI Engineer to join the AI Assist team. In this role, you will work on realistic football player behavior modeling, helping bring the game to new platforms. You will have a key impact on shaping AI architecture, from early MVP stages to full-scale production, working at the intersection of gaming, simulation, and machine learning.
🚀 Responsibilities
• Build and train machine learning models that replicate football players’ behavior in simulated or game-like environments
• Apply imitation learning, reinforcement learning, decision transformers, and hybrid approaches for dynamic agent behavior
• Design and maintain data pipelines for training, validation, testing, and inference
• Contribute to AI system architecture as it scales from MVP to production
• Run behavior simulations to evaluate realism, tactical consistency, and learning efficiency
• Collaborate with game designers and engineers to integrate AI-driven behavior into real-time systems
📚 Required Skills
• 4+ years of professional experience in machine learning
• Strong hands-on experience with PyTorch or TensorFlow
• Practical expertise with reinforcement learning algorithms such as PPO, SAC, or DQN
• Experience with imitation learning methods like behavioral cloning or inverse reinforcement learning
• Solid understanding of sequence modeling, including RNN, LSTM, and Transformers
• Experience training models from offline datasets such as time-series or trajectory logs
• Familiarity with ML tooling including experiment tracking, configuration management, and data versioning
• Ability to build inference-ready pipelines and integrate models via APIs or engine-facing interfaces
👍 Nice to Have
• Experience integrating ML models into game engines such as Unreal Engine or Unity
• Knowledge of football tactics, roles, or player behavior modeling
• Exposure to offline reinforcement learning, GFlowNets, or world models
• Contributions to open-source projects or participation in AI competitions
• Strong debugging, visualization, and model interpretability skills
🍪 What we offer
• Competitive salary
• Medical insurance, sick leave, and social benefits
• Relocation package
• Sports compensation
• Online English classes
• Referral bonuses
• Co-working compensation
• Corporate events
• Opportunity to own and shape core AI technology in a next-gen product
• Collaboration with a small, focused, and highly technical team
🌐 Vacancy link
#gamedev #machinelearning #ai #reinforcementlearning #footballgame #simulation #remote #strikerz
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