AI/ML Researcher Hot

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 AI/ML Researcher (Multimodal) to join our cutting-edge research team. This role focuses on advancing core multimodal capabilities by integrating vision, language, and other modalities, while ensuring that research outcomes are transferable to stable, enterprise-grade production systems. While our current focus includes multimodal and vision-language technologies, this role is fundamentally about using AI to solve complex problems and growing with evolving models, data modalities, and system requirements. The ideal candidate has hands-on experience with multimodal models or systems, deep expertise in at least one core AI domain (CV or NLP), and the ability to bridge research and production deployment.

Job Responsibilities:

• Develop AI-based solutions to solve complex, real-world problems using appropriate models and data modalities
• Formulate problems, design approaches, and evaluate solutions from an end-to-end AI system perspective
• Research, implement, and adapt state-of-the-art AI models (not limited to a specific modality)
• Build and validate scalable AI pipelines, from data processing to model inference
• Apply AI technologies—including but not limited to multimodal, CV, and NLP methods—based on problem requirements
• Translate research ideas into robust, production-ready systems
• Collaborate with engineering and product teams to deploy and maintain AI solutions
• Continuously learn and adopt emerging AI techniques and paradigms
   

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.”
• Applicants must have in-depth knowledge in machine learning/Deep Learning
• Hands-on experience with multimodal models or systems (e.g., vision-language models, document understanding systems, multimodal IE(Information Extraction))
• Broad understanding of how multiple modalities interact and are jointly modeled
• Proven expertise in at least one core domain:
• Computer Vision: Object detection/recognition, OCR(Optical Character Recognition), etc.
• Natural Language Processing: Information extraction, retrieval, RAG, LLM-based systems
• Solid software engineering skills with experience building production systems
• Strong programming skills in Python and experience with at least one major framework: PyTorch or TensorFlow
• Experience deploying models beyond notebooks – APIs, services, edge devices or embedded systems
• Ability to read, understand, and implement ideas from research papers
• Strong problem-solving skills and ability to learn independently
• Proper verbal and written English communication skills

Preferred Qualifications (Desired Skills/Experience):

• Bachelor’s  degree with at least three years of work experience
• Master’s degree in Engineering, Computer Science, AI, Machine Learning, Data Science
• Ph.D. degree with at least two years of work experience in Engineering, Computer Science, AI, Machine Learning, Data Science, or a related field
• Experience in manufacturing, industrial automation, robotics or quality inspection system
• Deep specialization in one domain, such as document AI, RAG, Information Extraction, Vision-language models, etc.
• Good to have at least an intermediate level of knowledge in server engineering like resource management on multi-GPUs over multiple servers
• Good to have at least an intermediate level of knowledge in aviation and commercial flight operation
• Nice to have winning experience in machine learning or data science competition challenges
• Nice to have publication records in top-tier machine learning or computer vision conferences

About Boeing

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Our Objectives

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Job Responsibilities:

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Basic Qualifications (Required Skills/Experience):

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Preferred Qualifications (Desired Skills/Experience):

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• ?? ??? ?? GPU ??????????????????????????????
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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. 

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

Applications for this position will be accepted until May. 29, 2026

Education

Bachelors 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.