Applied AI Intern
Razer · Singapore ·
- Seniority
- Intern
- Employment
- Internship
- Category
- AI engineering
- Company size
- 501-1000
Razer · Singapore ·
An AI intern evaluates and benchmarks vision/agentic AI models for gaming quality assurance, builds evaluation tools, and researches emerging AI tech to improve product features.
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 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
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?