Relocation | Greece
Strikerz Inc.
We are looking for a ML Engineer to join our AI Assist team and help us bring our game to new platforms.
What you will do:

Build and train machine learning models that replicate football players’ behavior in a simulated or game-like environment;

Apply Imitation Learning, Reinforcement Learning, Decision Transformers, and their hybrids to model realistic and dynamic agent behavior;

Design and maintain data pipelines for training, validation, testing, and inference of ML models;

Contribute to the architecture of an AI system that will evolve from MVP stage to full-scale deployment;

Run behavior simulations to test models, evaluate realism and tactical consistency, and optimize learning approaches;

Collaborate with game designers and engineers to bring AI-driven behavior into real-time environments (e.g., via API or engine integration).

Skills and requirements:

Solid experience with PyTorch or TensorFlow, especially in sequence modeling or reinforcement/imitation learning use cases;

Hands-on expertise in one or more RL algorithms (e.g., PPO, SAC, DQN) and at least one IL method (e.g., Behavioral Cloning, Inverse Reinforcement Learning);

Good grasp of sequence modeling techniques, including RNN/LSTM and Transformers, particularly Decision Transformers;

Experience in training from offline datasets - such as time-series or trajectory logs (e.g., player position tracking);

Familiarity with modern ML toolchains: config management (e.g., Hydra), experiment tracking (Weights & Biases), and data versioning (DVC);

Ability to build inference-ready pipelines (e.g., using ONNX, TorchScript, or REST API) and interface them with external systems.

Nice-to-Have:

Prior experience integrating ML models into game engines (Unreal / Unity etc);

General knowledge of football (ideally - tactical roles, and/or player behavior modeling);

Exposure to offline RL, GFlowNets, or World Models;

Contributions to open-source projects or participation in AI-related competitions (e.g., NeurIPS, Kaggle, AIcrowd);

Strong debugging, visualization, or model interpretability skills.

Why choose us?

The opportunity to shape AI architecture in a project that blends gaming, simulation, and machine learning;

Full ownership of core technical direction in AI behavior modeling and training;

Collaboration with a small, focused team working on a next-gen product from early-stage design.

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We offer:

Competitive salary;

Medical insurance, sick leaves and social benefits;

Relocation package;

Sports compensation;

Online English classes;

Referral bonuses;

Co-working compensation;

Corporate events

Please send your CV using the form below to apply for this opportunity.
More information about the vacancy:ML AI Engineer at Strikerz Inc.