Generative AI Intern
Razer is hiring a Generative AI Intern. Level rates it ; you can apply on Razer.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include Hugging Face, PyTorch and TensorFlow.
- Level classifies it as an internship.
- Level lists 148 other open roles at Razer.
AI in this role
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?
How we rate this
Generative AI Intern at Razer rates 97 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used Hugging Face in your day-to-day work.
- What are the limits of PyTorch that you've run into, and how did you work around them?
- What's a project where you used TensorFlow hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Hugging Face, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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