Machine Learning Researcher Featured

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 opportunities for professional growth. Find your future with us.

Our Objectives

Boeing Korea Engineering and Technology Center (BKETC) is seeking a highly skilled and motivated Natural Language Processing (NLP) Machine Learning Researcher to join our cutting-edge research team. As an NLP Machine Learning Researcher, you will play a pivotal role in advancing the field of NLP through innovative research, algorithm development, and the application of machine learning techniques focused on autonomy, aircraft manufacturing, factory digitalization, etc. Your work will have a direct impact on developing state-of-the-art NLP models and systems that address real-world challenges and push the boundaries of language understanding and generation.

Job Responsibilities:

• Conduct groundbreaking research in the field of Natural Language Processing with a focus on machine learning techniques, including but not limited to neural networks, deep learning, transformers, and other advanced models.

• · Develop novel algorithms and methodologies for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, text generation, dialogue systems, and more

• Implement and experiment with state-of-the-art NLP models and techniques, adapting them to specific problem domains and datasets, including autonomous flight, aircraft manufacturing, factory digitalization and etc.

• Develops ML/DL models operating on our MLOps system that comply with aviation safety requirements

• Stay current with the latest advancements in NLP and machine learning by actively participating in conferences, workshops, and relevant academic publications.

• Collaborate with cross-functional teams to define research objectives, scope, and methodologies, and contribute to project planning and execution.

Basic Qualifications (Required Skills/Experience):

• Extensive experience in designing and implementing NLP models using machine learning techniques, including neural networks and deep learning architectures.
• Proficiency in programming languages such as Python, and experience with machine learning libraries (TensorFlow, PyTorch, etc.).
• In-depth knowledge of NLP fundamentals, including but not limited to word embeddings, attention mechanisms, sequence-to-sequence models, and transformers.
• 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):

• Master’s degree with at least three years of work experience or Ph.D. degree in Engineering, Computer Science, Math, or Statistics
• 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, like resource management on multi-GPUs over multiple servers

• Good to have at least an intermediate level of knowledge in aviation and commercial flight operations

• Nice to have field experience in developing and executing manufacturing projects using machine learning techniques to optimize manufacturing processes, reduce downtime, and improve quality.

• Nice to have a winning experience in machine learning or data science competition challenges

• Nice to have publication records in top-tier machine learning or computer vision conferences

Job Responsibilities:

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