[AI Research Div.] Research Engineer - Foundation Models (2년 이상 / 계약직)

The role

The candidate will build distributed training, inference systems, and RL infrastructure for Foundation Models. They will research and develop joint optimization for model and computational performance and publish results in top-tier conferences.

What you will do

• Build distributed training, inference system, and RL Infrastructure for Foundation Models.
• Perform system optimization.
• Research and develop joint optimization for model performance and computational performance.
• Publish research results in Tech Reports or top-tier conferences like NeurIPS, ICLR, and ICML.

Required qualifications

• Bachelor's degree or higher in Artificial Intelligence, Computer Science, or a related field.
• Strong fundamentals in both ML Research and Software Engineering.
• Ability to define, analyze, and solve undefined problems independently.
• Commitment to bug-free code management.
• No disqualification for overseas business trips.
• Submit CV, self-introduction, career description, transcript, and portfolio.

Nice to have

• Deep understanding of system optimization.
• Direct experience in pre-training or post-training of foundation models.
• Experience publishing papers in major conferences or journals such as NeurIPS, ICLR, ICML, or MLSys.
• Smooth communication skills.

Before you apply

• The hiring process includes a job test (Pre-Test).
• A 5-month probationary period applies.
• False statements in the resume may lead to the withdrawal of the employment offer.
• This is an ongoing recruitment and may close early if excellent talent is found.

About the company

KRAFTON AI Research Division researches and develops core AI technologies for games and non-game fields to strengthen business competitiveness and create new value.