[AI Research Div.] Postdoctoral Researcher - LLMs (Contract)

Krafton

Job Summary

KRAFTON AI Research Division aims to build a next-generation game production paradigm centered on AI, leading the entire process from optimized model design to operation. They focus on automating and advancing work processes through Language Model-based Agent technology, developing Gaming Agents that understand and interact with game environments and users. This role involves understanding LLM operating principles, conducting theoretical and empirical analysis, and researching/developing core technologies to improve model performance, focusing on efficiency, stability, and reliability for various service environments.

Must Have

  • Hold or be expected to obtain a PhD in AI, Computer Science, Statistics, Electrical Engineering, or related fields, with degree completion before joining.
  • Experience in theoretical/empirical analysis or modeling research on Large Language Models (LLM).
  • Understanding of factors affecting LLM performance, such as model architecture, learning algorithms, and optimization techniques.
  • Research and experimentation experience using Python and deep learning frameworks (PyTorch, JAX, etc.).
  • Experience in quantitative analysis, including model performance evaluation, benchmark design, and experiment automation.
  • Ability to clearly document research results and collaborate/communicate with various teams.

Good to Have

  • Excellent research achievements, such as first-author papers or awards at prestigious conferences like NeurIPS, ICML, ICLR.
  • In-depth research experience on LLM operating principles, including internal structure analysis, scaling laws, representation learning, and model interpretation.

Job Description

Introducing Our Team (Project)

[AI Research Division Vision]

KRAFTON AI Research Division aims to establish a next-generation game production paradigm centered on AI, leading the entire process from optimized model design to operation, focusing on enhancing game production efficiency and creating new play experiences.

We are concentrating on automating and advancing work processes through Language Model-based Agent technology, and developing Gaming Agents that can understand and act within game environments and interact with users.

These Gaming Agents will breathe with players in real-time game environments, maximizing immersion. Furthermore, we are expanding beyond games into the Physical AI domain to create the future of interactive intelligence.

[Culture Fit]

Members of the AI Research Division interact and collaborate with team members from various fields through diverse projects, offering creative ideas for various problems. An atmosphere that encourages free expression of opinions regardless of age or position is fostered.

Our team consists of individuals from diverse cultural backgrounds, and we actively support methods to overcome language barriers, such as translation and interpretation, for active communication.

Introducing the Mission You Will Undertake with Our Team

KRAFTON is looking for a Postdoctoral Researcher on a 2-year contract to understand the operating principles of LLMs and conduct research to improve their performance.

  • As a Postdoctoral Researcher, you will perform theoretical and empirical analysis to understand the operating principles of Large Language Models (LLMs) and research/develop core technologies to improve model performance.
  • You will systematically understand the impact of various architectures and learning methods on LLM's expressiveness, reasoning ability, and generalization performance, focusing on proposing and verifying new analytical perspectives and algorithms to improve model efficiency, stability, and performance.
  • Through this, the goal is to build foundational technologies that enable reliable LLM utilization in various real-world service environments.

We Want to Grow with Someone Who Has These Experiences! (Required Qualifications)

  • Hold or be expected to obtain a PhD in AI, Computer Science, Statistics, Electrical Engineering, or related fields, with degree completion before joining.
  • Experience in theoretical/empirical analysis or modeling research on Large Language Models (LLM).
  • Understanding of factors affecting LLM performance, such as model architecture, learning algorithms, and optimization techniques.
  • Research and experimentation experience using Python and deep learning frameworks (PyTorch, JAX, etc.).
  • Experience in quantitative analysis, including model performance evaluation, benchmark design, and experiment automation.
  • Ability to clearly document research results and collaborate/communicate with various teams.

If You Have These Experiences, You Are the One We Are Looking For! (Preferred Qualifications)

  • Excellent research achievements, such as first-author papers or awards at prestigious conferences like NeurIPS, ICML, ICLR.
  • In-depth research experience on LLM operating principles, such as internal structure analysis, scaling laws, representation learning, and model interpretation.

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To join KRAFTON's challenge, the following selection process is required:

  • Document Screening > Pre-Interview (Phone Interview) > *Job Test (Pre-Test) > Job Interview (Technical Fit Interview) > Comprehensive Interview (Culture Fit Interview) > Academic/Career, Reference Check > Compensation Negotiation > Final Offer and Onboarding

*This process may vary depending on the position.

  • Details of each stage will be provided individually.
  • If necessary, additional job tests or interview stages may be added, and details will be provided individually.
  • Selection results will be sent to the email address provided in the application within 2 weeks; if there is a delay due to internal scheduling, a separate notification will be sent.
  • This announcement is for ongoing recruitment and may close early if an excellent candidate is hired.

Please check the required documents!

  • Application form (CV format/guidelines), Portfolio (Required)
  • For new graduates, please focus on your self-introduction; for experienced professionals, please focus on your career description.
  • When attaching a portfolio, please check the information below.

Workplace

  • Yeoksam

Employment Type

  • Contract (2 years)

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Please check the information below!

  • Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws.
  • False statements in your resume may lead to the withdrawal of the employment offer.
  • A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
  • Please contact KRAFTON Careers FAQ for any questions during the recruitment process.

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

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Please check the information below

  • Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
  • False statements in your resume may lead to the withdrawal of the employment offer
  • A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
  • Please contact career@krafton.com for other inquiries

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

6 Skills Required For This Role

Talent Acquisition Game Texts Pytorch Deep Learning Python Algorithms

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