Machine Learning Researcher (Computer Vision)

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.

Applications for this position will be accepted until Jul. 01, 2025

Export Control Requirements: This is not an Export Control position.

Relocation: Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship: Employer will not sponsor applicants for employment visa status.

Shift: Not a Shift Worker (Korea, Republic of)

Equal Opportunity Employer

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.