Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Leading the development of foundational AI systems within the hirify.global engine, empowering creators to build smarter, more responsive in-game agents and simulations with an accent on pushing the boundaries of AI, multi-agent systems, and reinforcement learning. Focus on innovation, allowing developers and designers to integrate sophisticated AI behavior seamlessly into their worlds.

Location: Remote, USA

Salary: $192,600—$288,800 USD

Company

hirify.global is the leading platform to create and grow games and interactive experiences.

What you will do

• Design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors.
• Define orchestration logic for single- and multi-agent systems.
• Develop reusable agentic frameworks for creator extensibility.
• Lead high-impact initiatives, including hierarchical reinforcement learning, AI planning and goal inference frameworks, and agent memory and world modeling systems.
• Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
• Contribute to the long-term vision and roadmap for hirify.global’s agentic AI offerings.
• Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

Requirements

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
• 5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.
• Experience with multi-agent systems, orchestration, or AI tool integration.
• Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems.
• Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Strong system design skills and the ability to architect performant, scalable ML systems.
• Excellent communication and collaboration skills.

Nice to have

• Familiarity with game development workflows.
• Publications or open-source contributions in reinforcement learning, agent-based modeling, or related areas.
• Experience with behavior trees, utility AI, or hierarchical task planning.
• Passion for the gaming industry and AI applications in games.

Culture & Benefits

• Offers a wide range of benefits designed to support employees' well-being and work-life balance.
• Committed to fostering an inclusive, innovative environment and celebrate employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.