Search 
jobs
Explore 
companies
Join talent network
Talent
My job alerts

Research engineer: Generative AI model personalization and efficient fine-tuning

Nuvia

Nuvia

Software Engineering, Data Science
Seoul, South Korea
Posted on Jan 10, 2026
Apply now


Company:

Qualcomm Korea YH

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are making AI technology be around us at edge devices, attend and assist people and learn from interaction without many labels, together with other devices in a federated way. We are based in Seoul and work together with our other team members in San Diego, Amsterdam, and Beijing.

We are looking for deep-learning researchers interested in developing new theories and algorithms in the following areas, with a strong focus on Generative AI Models and its personalization:

  • Generative foundation models: LLM, LVM, LMM, VLA, etc.
  • Personalization and on-device adaptation of generative models
  • Efficient fine-tuning techniques (LoRA, adapters, parameter-efficient tuning)
  • Multi-modal generation (text-to-image, text-to-video, audio-visual)
  • Diffusion / transformer models and their optimization
  • Knowledge distillation and compression for generative models
  • Quantization and low-bit processing for LLM/LMM
  • Reinforcement Learning for Generative AI (RLHF, policy optimization, reward modeling)
  • Unsupervised / semi-supervised / self-supervised learning
  • Meta-Learning / few-shot learning / domain adaptation / knowledge transfer

The developed technologies will be deployed on mobile device applications and have a worldwide impact on on-device learning algorithms using Qualcomm chips. Also, the research results are expected to be published in top-tier conferences and journals.

Minimum Qualifications

  • Strong machine learning and deep learning knowledge
  • Recent research experience in Generative AI (LLM, LVM, LMM, VLA) and personalization techniques
  • Algorithm implementation experience using Python with deep learning platforms (e.g., PyTorch, TensorFlow)
  • Publication requirement:
    • At least 4 papers as first author, including at least 2 papers in top conferences (e.g., NeurIPS, CVPR, ICML, ICCV, ICLR, ECCV, ACL)

Preferred Qualifications

  • Extensive and diverse experience with generative AI models, including LLMs, LVMs, LMMs, and multi-modal architectures
  • Proven expertise in efficient adaptation techniques such as LoRA, adapters, and other parameter-efficient fine-tuning methods

· Hands-on experience with model optimization for edge deployment, including quantization, pruning, and low-bit inference/training

· Strong track record of publications in top-tier conferences (e.g., NeurIPS, CVPR, ICML, ICCV, ICLR, ECCV, ACL)

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

Apply now
See more open positions at Nuvia
Privacy policyCookie policy