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岗位职责: You will build and own the infrastructure foundation of our reinforcement learning framework, enabling RL-driven gameplay systems that can scale across current and future UE5 projects. This is a hands-on, hybrid role that sits between ML research and game/engine engineering. The focus is on turning research ideas into robust, deployable, production-ready systems that run inside real game environments. You will: 1. Collaborate with the gameplay team to deliver machine learning and Al solutions that enhance the game experience on Varsapura, our upcoming flagship title. 2. Partner closely with gameplay engineers to prototype, optimize, and productionize reinforcement learning pipelines. 3. Take ownership of the technical roadmap for RL infrastructure, identifying bottlenecks and driving improvements in reliability, scalability, and iteration speed. 4. Deploy and operate learning agents in live or simulated UE-based environments, and optimize infrastructure for runtime inference. 任职要求: 1. 8+ years of professional experience in software engineering, machine learning, or related technical roles. 2. Strong proficiency with Python and C++. 3. Experience with game development workflows, including debugging, profiling, and version control. 4. Solid understanding of deep neural network architectures and reinforcement learning concepts. 5. Experience with deep-learning frameworks such as Pytouch, Tensorflow. 6. Experience with distributed machine learning systems on cloud infrastructure. 7. Experience deploying and optimizing machine learning applications in production environments. 加分项: 1. MS or PhD in Computer Science, Mathematics, or a related technical field 2. Experience with end-to-end RL workflows, from training to production deployment. 3. Experience working with Unreal Engine. 4. Experience with cross-functional collaboration in fast-moving engineering environments
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您目前还没有登录:立即登录岗位职责: You will build and own the infrastructure foundation of our reinforcement learning framework, enabling RL-driven gameplay systems that can scale across current and future UE5 projects. This is a hands-on, hybrid role that sits between ML research and game/engine engineering. The focus is on turning research ideas into robust, deployable, production-ready systems that run inside real game environments. You will: 1. Collaborate with the gameplay team to deliver machine learning and Al solutions that enhance the game experience on Varsapura, our upcoming flagship title. 2. Partner closely with gameplay engineers to prototype, optimize, and productionize reinforcement learning pipelines. 3. Take ownership of the technical roadmap for RL infrastructure, identifying bottlenecks and driving improvements in reliability, scalability, and iteration speed. 4. Deploy and operate learning agents in live or simulated UE-based environments, and optimize infrastructure for runtime inference. 任职要求: 1. 8+ years of professional experience in software engineering, machine learning, or related technical roles. 2. Strong proficiency with Python and C++. 3. Experience with game development workflows, including debugging, profiling, and version control. 4. Solid understanding of deep neural network architectures and reinforcement learning concepts. 5. Experience with deep-learning frameworks such as Pytouch, Tensorflow. 6. Experience with distributed machine learning systems on cloud infrastructure. 7. Experience deploying and optimizing machine learning applications in production environments. 加分项: 1. MS or PhD in Computer Science, Mathematics, or a related technical field 2. Experience with end-to-end RL workflows, from training to production deployment. 3. Experience working with Unreal Engine. 4. Experience with cross-functional collaboration in fast-moving engineering environments
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