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Razer

Applied AI Intern (Voice)

LocationSingapore
Typeinternship
SeniorityEntry
Company size10,000+ people
First seenOct 6, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have6
Understanding of core AI/ML concepts, including evaluation metrics, experimentation, and model benchmarking
Exposure to NLP, speech/voice AI, generative AI, or related fields
Strong programming skills in Python and SQL
Strong analytical and structured problem-solving skills
Excellent written and verbal communication skills
Ability to work effectively in a fast-paced, agile environment and learn through feedback
Nice to have2
Experience with backend application development using NodeJS or FastAPI is a plus
Knowledge of cloud technologies and containerization tools such as Docker or Kubernetes is a plus
Skills
Python
SQL
NodeJS
FastAPI
Docker
Kubernetes
About the company
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 AVA Voice AI, focusing on evaluating and improving voice interaction quality, latency and reliability. Intern will work with AI and Software Engineers to benchmark models, investigate failure modes, and help translate experimentation into production-ready improvements.
Job Scope
•
Support offline evaluation and benchmarking of voice AI models, prompts, and pipelines using curated datasets
•
Implement experimentation workflows to measure quality, latency, reliability, and model performance
•
Conduct error analysis and edge-case investigations to identify failure modes and optimization opportunities
•
Develop reusable evaluation tools, benchmarking utilities, and automation to improve evaluation efficiency
•
Document evaluation findings and translate results into actionable recommendations for model and pipeline improvements
•
Conduct research on emerging AI, GenAI, and voice AI technologies to identify potential opportunities for adoption
Candidate Requirements
•
Understanding of core AI/ML concepts, including evaluation metrics, experimentation, and model benchmarking
•
Exposure to NLP, speech/voice AI, generative AI, or related fields
•
Strong programming skills in Python and SQL
•
Experience with backend application development using NodeJS or FastAPI is a plus
•
Knowledge of cloud technologies and containerization tools such as Docker or Kubernetes is a plus
•
Strong analytical and structured problem-solving skills, with curiosity and willingness to question assumptions
•
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?
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