INTERNSHIP DETAILS

Applied AI Intern

CompanyRazer Inc.
LocationSingapore
Work ModeOn Site
PostedAugust 28, 2026
Internship Information
Core Responsibilities
The intern will support the evaluation and benchmarking of vision, multimodal, and agentic AI models for gaming use cases. They will also develop tools and workflows to measure model performance and conduct error analysis to support product development.
Internship Type
full time
Company Size
1973
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Razer™ is the world’s leading lifestyle brand for gamers. The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities. With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services. Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher). In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia. Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China.
About the Role

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 :

Applied AI Intern to support QAC Vision and Agentic AI features, focusing on evaluating multimodal models and agentic workflows for gaming use cases. Intern will work with AI, Software Engineering, and Product teams to experiment with emerging approaches, understand failure modes, and validate solutions for product adoption.

Job Scope

  • Support the evaluation and benchmarking of vision, multimodal, and agentic AI approaches for QAC use cases using curated datasets

  • Build, maintain, and optimise evaluation workflows to measure model quality, reasoning accuracy, reliability, and agent performance

  • Implement experimentation workflows to evaluate emerging AI models and frameworks, conduct error analysis, and investigate edge cases across perception, reasoning, and agent execution

  • Develop reusable benchmarking utilities, evaluation tools, and prototypes to support technical validation and product buildout

  • Document evaluation findings, limitations, and failure modes, and translate results into actionable recommendations for feature development

  • Conduct research on emerging AI, multimodal, GenAI, and agentic AI technologies to identify potential opportunities for adoption
     

Candidate Requirements

  • Understanding of core AI/ML concepts, including model evaluation, benchmarking, experimental design, and evaluation metrics

  • Exposure to computer vision, multimodal AI, generative AI, or agentic AI

  • Strong programming skills in Python and SQL

  • Experience with backend application development using NodeJS or FastAPI is a plus

  • Knowledge of cloud technologies and containerisation tools such as Docker or Kubernetes is a plus

  • Strong analytical and structured problem-solving skills, with curiosity and willingness to question assumptions

  • Ability to investigate contextual failure modes and assess AI outputs critically rather than relying solely on automated metrics

  • Excellent written and verbal communication skills

  • Ability to work effectively in a fast-paced, agile environment and learn through feedback

Pre-Requisites :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

Key Skills
PythonSQLMachine LearningComputer VisionMultimodal AIGenerative AIAgentic AIBenchmarkingExperimental DesignNodeJSFastAPIDockerKubernetesCloud TechnologiesData AnalysisProblem Solving
Categories
TechnologySoftwareData & AnalyticsEngineeringScience & Research