Staff Machine Learning Engineer

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. Focus on pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

Location: San Francisco, CA, 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 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.

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.

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

• We offer a wide range of benefits designed to support employees' well-being and work-life balance.