NextRaiseNextRaiseFind jobs
Sign inSign up free
Jobs / AI Engineer in Singapore
1 month ago
Apply with autofill
Apply with autofill
Razer·Gaming·1 month ago
1 month ago

Generative AI Intern

Singapore Razer AI Center, SingaporeInternshipEntry · 0-1 yearsAI Engineer

Sign up free to see how well your resume matches this role.

Boost your chances at Razer

How you compare FREE

?
Your scoreYour score: not yet known
→
65
Top 10%Top 10%: 65 out of 100

Top 10% of NextRaise users matched against AI Engineer roles in Singapore.

Must-have skills for this role

  • python
  • pytorch
  • machine learning
  • deep learning

PDF or DOCX · no account needed

Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Prepare and validate datasets for model fine-tuning and evaluation.
  • Fine-tune language models using techniques such as LoRA, supervised fine-tuning, and preference optimization.
  • Support distributed training and experimentation using PyTorch, Hugging Face, Ray, or DeepSpeed.
  • Benchmark model quality, latency, memory usage, and training performance.
  • Explore optimization techniques such as quantization and model distillation.
  • Analyze experimental results and document findings.

What they're looking for

  • Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
  • Proficient in Python and familiar with PyTorch or TensorFlow.
  • Knowledge of machine learning, deep learning, and Transformer models.
  • Analytical, detail-oriented, and motivated to learn.
  • Available for a minimum of 16–20 week internship.

Nice to have

  • Familiarity with Hugging Face, distributed computing, or Linux is advantageous.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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 :

Join our AI Software team as a Generative AI Intern and help develop and optimize large language models for intelligent and agentic AI applications. You will work on dataset preparation, model fine-tuning, evaluation, and training optimization.

Key Responsibilities

• Prepare and validate datasets for model fine-tuning and evaluation.
• Fine-tune language models using techniques such as LoRA, supervised fine-tuning, and preference optimization.
• Support distributed training and experimentation using PyTorch, Hugging Face, Ray, or DeepSpeed.
• Benchmark model quality, latency, memory usage, and training performance.
• Explore optimization techniques such as quantization and model distillation.
• Analyze experimental results and document findings.

Learning Objectives

• Gain hands-on experience in fine-tuning and evaluating large language models.
• Learn practical concepts in distributed training and GPU-based computing.
• Understand dataset preparation, model optimization, and experiment tracking.
• Build experience with production-oriented Generative AI workflows.

Candidate Requirements

• Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Proficient in Python and familiar with PyTorch or TensorFlow.
• Knowledge of machine learning, deep learning, and Transformer models.
• Familiarity with Hugging Face, distributed computing, or Linux is advantageous.
• Analytical, detail-oriented, and motivated to learn.
• Available for a minimum of 16–20 week internship.

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?

Gaming

Company

RazerGaming
Singapore Razer AI Center, Singapore

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Razer's careers site·first seen 17 Aug 2026·last verified 8 Sept 2026·How we source jobs

Similar jobs

  • AI Application Engineer - (Public Sector) at xtremax-pte-ltdSingapore, Singapore, Singapore–match not yet calculated
  • Senior Forward Deployed Engineer, Generative AI, Google Cloud (Mandarin) at GoogleSingapore–match not yet calculated
  • Forward Deployed Engineer, GenAI (Mandarin, English) at GoogleSingapore–match not yet calculated
  • GenAI Forward Deployed Engineer, Google Cloud (English, Korean) at GoogleSingapore–match not yet calculated
  • Forward Deployed Engineer, GenAI, Google Cloud (Korean, English) at GoogleSingapore–match not yet calculated

Browse more jobs

  • AI Engineer jobs in Singapore
  • AI / ML Researcher jobs in Singapore
  • Machine Learning Engineer jobs in Singapore
  • Data Annotation Specialist jobs in Singapore
  • AI Engineer jobs in United States
  • AI Engineer jobs in India