Senior Data Scientist (rl)

Razer

Singapore, Singapore
On-site
Reinforcement learning (rl) algorithms
Python proficiency
Pytorch, mlx, or tensorflow
Razer is seeking a Senior Data Scientist specializing in reinforcement learning to develop advanced AI solutions for gaming. The ideal candidate will possess deep expertise in RL algorithms and collaborate with a cross-functional team to enhance gameplay experiences

Job Summary

  • This role will focus on designing and developing advanced Reinforcement Learning (RL) driven solutions for game developers and players.
  • The ideal candidate will have deep expertise in RL algorithms, agent-based modeling, and scalable training frameworks to create intelligent gameplay agents and adaptive in-game behaviors.
  • This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance exploration and fast iteration in production environments.

Matching Summary

Match Score: 85

Razer is seeking a Senior Data Scientist specializing in reinforcement learning to develop advanced AI solutions for gaming. The ideal candidate will possess deep expertise in RL algorithms and collaborate with a cross-functional team to enhance gameplay experiences.

Skills & Requirements

Must-have

  • Reinforcement Learning (RL) algorithms
  • Python proficiency
  • PyTorch, MLX, or TensorFlow
  • Policy-based, value-based, actor-critic methods
  • Reward design and exploration strategies
  • Simulation environments or gaming frameworks

Nice-to-have

  • multi-agent RL, self-play, or adversarial training
  • offline RL, imitation learning, or hybrid approaches
  • messaging and communication technologies
  • experiment tracking, reproducibility, and evaluation tooling

Key Requirements

  • 2+ years of applied experience in reinforcement learning
  • Master’s or PhD in a relevant field

Work Rights

Not specified

Tailored Resume

Cover Letter