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Tier-1 brand, metro location, and mid-level ML role attract many qualified applicants.
Highly specialized ML/AI and RLHF skills limit cross-industry transferability.
Mandatory 5+ years ML experience and specialized RLHF/LLM skillset create strict screening.
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Design and implement evaluation suites and reward models using Reinforcement Learning from Human Feedback (RLHF) to quantify game quality and core loop engagement.
Fine-tune Large Language Models with 3D mathematics, engine architectures, and physical reasoning to enhance spatial and interactive capabilities.
Develop high-efficiency 2D/3D asset pipelines and multi-agent AI frameworks for automated playtesting and validation of generated game content.
Bachelor’s degree or equivalent practical experience.
Minimum 5 years experience in Machine Learning or Artificial Intelligence.
Experience in coding with data structures, algorithms, and software design.
Preferred: 8 years of software development experience.
Experienced in reinforcement learning, LLM fine-tuning, and AI-driven game/playtest development.
Skilled in 3D mathematics, game engine architectures (Unity, Godot, Unreal), and physical simulation concepts.
Capable of designing complex AI frameworks for autonomous testing and asset generation within fast-evolving technology environments.