Machine Learning Researcher (General AI/ML)

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 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 autonomy, 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 Responsibilities:

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.
Develop novel algorithms and methodologies for tasks such as classification, regression, anomaly detection, time series analysis, optimization, and more.
Implement and experiment with state-of-the-art AI/ML models and techniques, adapting them to specific problem domains and datasets including autonomous flight, aircraft manufacturing, factory digitalization, etc.
Develop ML/DL models operating on our MLOps system that complies with aviation safety requirements.
Stay current with the latest advancements in AI 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):

Master’s degree with at least three years of work experience or Ph.D. degree in Engineering, Computer Science, Math, or Statistics
Education or experience in software development/engineering
Applicants must have in-depth knowledge in Machine Learning/Deep Learning
Coding experience in more than one software language (ex: C, C++, C#, Java, Python, Javascript, Matlab, and so on.)
Applicants must have the enthusiasm to learn new technologies and improve their skillsets
This role requires creativity, critical thinking, and troubleshooting skills
Proper verbal and written English communication skills

Preferred Qualifications (Desired Skills/Experience):

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 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.

Job Responsibilities:

인공지능 및 기계 학습 분야에서 혁신적인 연구를 수행하며, 신경망, 딥러닝, 강화 학습 및 기타 고급 모델을 포함한 다양한 기술을 탐구합니다.
분류, 회귀, 이상 탐지, 시계열 분석, 최적화 등과 같은 작업을 위한 새로운 알고리즘과 방법론을 개발합니다.
최첨단 AI/ML 모델과 기술을 구현하고 실험하며, 자율 비행, 항공기 제조, 공장 디지털화 등 특정 문제 영역과 데이터 세트에 맞게 최적화합니다.
항공 안전 요구 사항을 준수하는 MLOps 시스템에서 작동하는 ML/DL 모델을 개발합니다.
회의, 워크숍 및 관련 학술 출판물에 적극 참여하여 AI 및 머신러닝의 최신 발전 동향을 파악합니다.
다양한 기능 팀과 협력하여 연구 목표, 범위 및 방법론을 정의하고, 프로젝트 계획 및 실행에 기여합니다.

Basic Qualifications (Required Skills/Experience):