Ai/ml Researcher (multimodal)

Boeing Boeing · Aerospace · Seoul, South Korea, South Korea

AI/ML Researcher focused on advancing multimodal capabilities by integrating vision, language, and other modalities, with a goal of transferring research outcomes to stable, enterprise-grade production systems. The role involves developing AI-based solutions, researching and implementing state-of-the-art models, building scalable AI pipelines, and translating research into production-ready systems within an enterprise context.

What you'd actually do

  1. Develop AI-based solutions to solve complex, real-world problems using appropriate models and data modalities
  2. Formulate problems, design approaches, and evaluate solutions from an end-to-end AI system perspective
  3. Research, implement, and adapt state-of-the-art AI models (not limited to a specific modality)
  4. Build and validate scalable AI pipelines, from data processing to model inference
  5. Apply AI technologies—including but not limited to multimodal, CV, and NLP methods—based on problem requirements

Skills

Required

  • 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.
  • 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
  • experience with at least one major framework: PyTorch or TensorFlow

Nice to have

  • 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.
  • at least an intermediate level of knowledge in server engineering like resource management on multi-GPUs over multiple servers
  • at least an intermediate level of knowledge in aviation and commercial flight operation
  • winning experience in machine learning or data science competition challenges
  • publication records in top-tier machine learning or computer vision conferences

What the JD emphasized

  • multimodal models or systems
  • deep expertise in at least one core AI domain (CV or NLP)
  • bridge research and production deployment

Other signals

  • integrating vision, language, and other modalities
  • transferable to stable, enterprise-grade production systems
  • bridge research and production deployment