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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. 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 Responsibility:
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
Requirements:
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
Nice to have:
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
What we offer:
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations
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