AI/ML Researcher (Computer Vision – Vision Language Model)

Boeing

KOR - Seoul, South Korea3+ years

Apply

Company:

Boeing Korea LLC

About Us

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Our Objectives

Boeing Korea Engineering and Technology Center (BKETC) is seeking a highly skilled and motivated AI ML Researcher (Computer Vision – Vision Language Model) to join our cutting-edge research team. As an AI/ML Researcher, you will play a pivotal role in advancing the field of artificial intelligence and machine learning through innovative research, algorithm development, and the application of machine learning techniques focused on aircraft manufacturing, factory digitalization, etc. Your work will have a direct impact on developing state-of-the-art AI/ML models and systems that address real-world challenges and push the boundaries of intelligent systems.

Job Responsibilities:

Conduct groundbreaking research in the field of artificial intelligence and machine learning, focusing on techniques including but not limited to neural networks, deep learning, reinforcement learning, and other advanced models.
Design, build and optimize document information extraction pipelines using multimodal techniques.
Develop solutions based on Vision-Language Models(VLMs), including Large-Language Models(LLMs), Small-Language Models(SLMs) and emerging multimodal architecture.
Integrate and fine-tune commercial or open source VLMs for tasks such as document layout analysis, key value extraction, classification, summarization and semantic parsing.
Collaboration with MLOps engineers to deploy scalable, production-ready inference services and APIs.
Stay current with the latest advancements in AI and machine learning, specifically OCR(Optical Character Recognition), VLMs, LLMs/SLMs and document AI research.
Collaborate with cross-functional teams to define research objectives, scope, and methodologies, and contribute to project planning and execution.

Basic Qualifications (Required Skills/Experience):

Bachelor degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-US equivalent qualifications directly related to the work statement
Extensive experience in designing and implementing AI/ML models using machine learning techniques, including neural networks and deep learning architectures.
Practical experiences utilizing and/or fine-tuning LLMs and SLMs for multimodal reasoning and extraction tasks.
Hands-on experience with OCR and document AI, including traditional approaches
Proficiency in programming languages such as Python, and experience with machine learning libraries (PyTorch, TensorFlow, etc.).
In-depth knowledge of computer vision and AI/ML fundamentals, including but not limited to supervised and unsupervised learning, reinforcement learning, and model evaluation techniques.
Strong analytical and problem-solving skills, with the ability to formulate research questions, design experiments, and interpret results.
Experience with large-scale data processing, distributed computing, and cloud platforms is a plus.
Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Proficient in English to effectively collaborate with an international team.

Preferred Qualifications (Desired Skills/Experience):

Master’s degree with at least three years of work experience or Ph.D. degree in Engineering, Computer Science, Mathematics, or Statistics.
Ph.D. degree with at least two years of work experience in Engineering, Computer Science, Math, or Statistics
The ideal candidate is a self-starter and someone who works well within a team
Good to have at least an intermediate level of knowledge in server engineering, including resource management on multi-GPUs across multiple servers.
Good to have at least an intermediate level of knowledge in relevant industries, such as aviation, manufacturing or commercial operations.
Nice to have field experience in developing and executing projects using machine learning techniques to optimize processes, reduce downtime, and improve quality.
Nice to have winning experience in machine learning or data science competition challenges.
Nice to have publication records in top-tier machine learning or artificial intelligence conferences.

This position will be hired on a 2-year fixed term contract with possibility to convert to an open ended contract, subject to business conditions and individual performance.

Location:

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at BKETC office and the listed location site.

Travel:

Some travel may be required, up to 10% of the time.

Other Job-related Information:

This requisition is for a locally hired position. Benefits and pay are determined at the local level and not on Boeing US-based payroll.

Other details will be communicated at the interview, or in selection process.

Boeing Korea has officially been certified as a "Best Family Friendly Management" company by the Republic of Korea Ministry of Gender Equality and Family.

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award