
Senior Data Scientist
3 days ago
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.
**Responsibilities**:
- 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.
- 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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