Senior Data Scientist
Job Summary
Job Description
As a Senior Data Scientist at Razer, you will be instrumental in creating AI-driven solutions tailored for game developers and gamers. This role involves designing and implementing reinforcement learning (RL) agents, generative AI, and Retrieval-Augmented Generation (RAG) to enhance game mechanics and player experiences. You'll collaborate with engineers and game developers, focusing on building and optimizing AI-powered gaming tools, fine-tuning models, analyzing game data, and deploying models in production environments. This role requires a deep understanding of AI in gaming, model performance evaluation, and strong communication skills for effective team collaboration.
Must have:
- Expertise in Reinforcement Learning (RL), Generative AI, and RAG.
- Proficiency in Python and experience with PyTorch or TensorFlow.
- Experience training and fine-tuning large-scale AI models.
- Strong problem-solving skills and translating research into solutions.
Good to have:
- Experience with game engines such as Unity and Unreal Engine.
- Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
- Experience with cloud-based AI deployment (AWS, GCP, or Azure).
14 skills required
Job Details
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 #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.- Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
- Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
- Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.
- Build and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
- Develop and fine-tune models to improve AI in gaming applications.
- Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
- Stay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.
- Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
- Assist in the deployment, monitoring, and maintenance of AI models in production environments.
- Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable
Pre-Requisites :
- Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
- Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
- Experience with game engines such as Unity and Unreal Engine is a plus.
- Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
- Experience in training and fine-tuning large-scale AI models.
- Experience with cloud-based AI deployment (AWS, GCP, or Azure).
- Strong problem-solving skills and ability to translate research into practical solutions.
- Excellent verbal and written communication skills to collaborate with technical and non-technical teams.
- Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.
Education & Experience
- Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
- 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.
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?
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About The Company
At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.
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