8+ years of experience in software engineering or machine learning roles
Strong proficiency in Python and C++
Familiarity with game development workflows, including debugging and version control
Solid understanding of deep neural networks and reinforcement learning
Experience with deep-learning frameworks like PyTorch and TensorFlow
Knowledge of distributed machine learning systems on cloud infrastructure
Proven track record of deploying machine learning applications in production environments
Responsibilities
Collaborate with the gameplay team to enhance game experience using machine learning solutions
Partner with gameplay engineers to prototype and optimize reinforcement learning pipelines
Own the technical roadmap for RL infrastructure, focusing on reliability and scalability
Deploy and operate learning agents in UE-based environments
Optimize infrastructure for runtime inference
Benefits
100% employer-paid healthcare premiums for you and your dependents
Generous paid time off
401K / RRSP plan
Employer-paid life and disability insurance
Team-building activities throughout the year
Flexible working hours
Full Job Description
What You Will Do:
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:
Collaborate with the gameplay team to deliver machine learning and Al solutions that enhance the game experience on Varsapura, our upcoming flagship title.
Partner closely with gameplay engineers to prototype, optimize, and productionize reinforcement learning pipelines.
Take ownership of the technical roadmap for RL infrastructure, identifying bottlenecks and driving improvements in reliability, scalability, and iteration speed.
Deploy and operate learning agents in live or simulated UE-based environments, and optimize infrastructure for runtime inference.
What We Are Looking For:
8+ years of professional experience in software engineering, machine learning, or related technical roles.
Strong proficiency with Python and C++.
Experience with game development workflows, including debugging, profiling, and version control.
Solid understanding of deep neural network architectures and reinforcement learning concepts.
Experience with deep-learning frameworks such as Pytouch, Tensorflow.
Experience with distributed machine learning systems on cloud infrastructure.
Experience deploying and optimizing machine learning applications in production environments.
Pluses:
MS or PhD in Computer Science, Mathematics, or a related technical field
Experience with end-to-end RL workflows, from training to production deployment.
Experience working with Unreal Engine.
Experience with cross-functional collaboration in fast-moving engineering environments
Benefits:
The base pay range for this position is $200,000 to $300,000 USD per year. Actual pay is based on location and may vary depending on relevant knowledge, skills, and experience from the candidate. Total compensation may include salary, company bonuses, sign-on bonuses, relocation package, and other benefits such as:
100% employer-paid healthcare premiums for you and your dependents
