Job Description

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.

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 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):

• Master’s degree with at least three years of work experience or Ph.D. degree in Engineering, Computer Science, Mathematics, or Statistics.

• 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):

• 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.

 Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required.

Applications for this position will be accepted until Jan. 09, 2026

Export Control Requirements:

This is not an Export Control position.

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (Korea, Republic of)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.