HubMub
-
Razer Inc.

Senior Data Scientist (RL)

Razer Inc.
Singapore · Full-time · Mid-Senior
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities

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.

Essential Duties And Responsibilities

  • Design and deploy reinforcement learning (RL) agents in the gaming domain to support in-house AI services.
  • Research, prototype, and evaluate RL agents with different policies and learning methodologies.
  • Optimize agent performance through hyperparameter tuning, reward shaping, and model architecture refinement.
  • Generalizing RL agent solutions to scale across various game engines and games spanning multiple genres.
  • Collaborate with cross-functional teams (engineers, developers, researchers) to integrate RL gameplay agents seamlessly into games.


Qualifications

Pre-Requisites :

  • Proficiency in Python, experience in compiled languages like C++ / Rust is a plus.
  • Hands-on experience in PyTorch, MLX, TensorFlow, or similar reinforcement libraries.
  • Solid understanding of reward design, policy/value-based methods, and exploration strategies.
  • Familiarity with simulation environments or gaming frameworks (e.g., OpenAI Gym, Unity, Unreal Engine).
  • Knowledge of schema-based data structures like YAML and JSON.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills across technical and non-technical teams.


Preferred


  • Experience with messaging and communication technologies such as RabbitMQ, gRPC, REST APIs for service integration.
  • Exposure to distributed training frameworks or large-scale RL experiments.


Education & Experience

  • Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
  • 2+ years of applied experience in reinforcement learning (academic or industry).


Travel Requirements

Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

Are you game?

Key Skills

Ranked by relevance

ai machine learning data structures unreal engine simulation tensorflow rabbitmq pytorch python unity rust grpc c
Login to Apply
🇸🇬

Country Guide

Singapore

High-pay global hub in Asia

Posted
Oct 10, 2025
Type
Full-time
Level
Mid-Senior
Location
Singapore
Company
Razer Inc.

Industries

Computers Electronics Manufacturing

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Razer Inc.
Related

Data Scientist (Mid/Senior)

2026-05-16

Full-time
Not Applicable
Singapore
Computers
Engineering
View Job Details
Razer Inc.
Related

Software Engineer (Mid/Senior)

2026-05-15

Full-time
Not Applicable
Singapore
Computers
Engineering
View Job Details
Razer Inc.
Related

Game AI Developer

2026-05-15

Full-time
Not Applicable
Singapore
Computers
Engineering