Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
Strong programming skills in Python and experience with large-scale data pipelines.
Solid understanding of LLM internals, e.g., typical training pipelines, computational characteristics of training/inference, mechanisms for multimodal extension.
Knowledge of Deep Reinforcement Learning (RL), LLM Reasoning, Imitation Learning, Memory-Based Architectures, Vision-Language-Model (VLM), and/or Vision-Language-Action (VLA) models.
Proven track record of designing, implementing, and maintaining robust technical assets (such as libraries, frameworks, or models) used by a large number of technical stakeholders; experience with OSS contributions is a plus.
Excellent communication and collaboration skills.
A minimum of 5 years of relevant professional experience.
Experience building agents for 3D virtual environments, simulators, or video games.
Strong track record in competitions in machine learning, data science, or AI in games.
Strong track record in AI competitions or publications in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, etc.).