Applied AI Intern

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?