AI/ML Researcher (Multimodal)
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 (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.”
- 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))
- 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
- Strong programming skills in Python and experience with at least one major framework: PyTorch or TensorFlow
Preferred Qualifications (Desired Skills/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
- Broad understanding of how multiple modalities interact and are jointly modeled
- Experience in manufacturing, industrial automation, robotics or quality inspection system
- Experience deploying models beyond notebooks – APIs, services, edge devices or embedded systems
- Solid software engineering skills with experience building production 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
- 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
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
Shift:
Not a Shift Worker (Korea, Republic of)
