Applied AI Intern

Razer; Singapore; On-site; SGD 20,000 - 33,000; Part time

Job summary

Razer is seeking an 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 collaborate with AI, Software Engineering, and Product teams to experiment with emerging approaches, understand failure modes, and validate solutions for product adoption.

The role involves building evaluation workflows, benchmarking model quality and agent performance, and documenting findings to guide feature

Qualifications

• Understanding core AI/ML concepts and evaluation metrics.
• Experience with vision or multimodal AI or GenAI.

Responsibilities

• 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.

Skills

Python

SQL

Analytical thinking

Effective communication

Curiosity

Education

Pursuing BS/MS in CS/AI/ML or related field

Tools

Docker

Kubernetes

FastAPI

NodeJS

Job description

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

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?