Associate AI/ML Software Engineer

Key Skills

Aartificial intelligence, Big Data Technology, Computer Vision (CV), Data Mining, DataOps, Deep Learning, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Python Programming

Job Description

Boeing Korea Engineering and Technology Center (BKETC) is seeking a high potential AI/ML Software Engineer who will be responsible for creation of best-in-class models and ensembles that can be re-purposed and reused, covering domains of Classification, Prediction, Fusion, Decision Making, and Generative AI solutions, as part of the AI Factory team at BKETC.

A successful candidate will be building out and developing, researching, and exercising AI/ML re-usable models and ensembles, the building blocks for AI/ML application development. This engineer will be responsible for the development and execution of the foundational models as part of the AI Factory team in the BKETC Software Engineering.

Work Information:

• Work Location : Asem Tower (Samsung-dong)
• Work Type : Hybrid (Work from home & office)

Position Responsibilities:

• Research and Development of models and ensembles covering:
• Classification
• Supervised (CNN, Unet, YOLO)
• Unsupervised (DBSCAN, K-Nearest, Adaboost)
• Prediction
• Predictors (LSTM, UConv)
• regressors (Bayesian, linear)
• Fusion (sensor level, and entity level)
• Decision Making (Task assignments, combinatorial and parametric optimizations, Reinforcement Learning, Path Planning)
• Generative (LLMs, Stackable LLMs)
• Hands-on experience developing AI/ML technologies
• Work closely with the Research leads and Chief AI Architects from Boeing Enterprise AI Center (BEAC)
• Work closely with the Software Engineers in AI Foundations (for MLOps and DataOps development)
• Work closely with the Software Engineers in AI Innovations (Application and consulting arm of the BEAC, developing the AI applications)
• Demonstrate a commitment to the mission and motivate the team to achieve common objectives through effective teamwork
• Drive innovation by looking beyond current practices and utilizing creative thinking to discover new opportunities and solutions

Basic Qualifications (Required Skills/Experience):

• Bachelor or Master of Science degree from an accredited course of study, in AI/ML Engineering, Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree
• 0-5 years of experience in developing models and ensembles in the AI/ML space
• Experience with software architectures and software implementations
• Experience with AI/ML technologies, frameworks, models and ensembles
• Experience with Pytorch, SciKit Learn, Tensorflow, and similar backend frameworks
• Experience with Classification Supervised and Unsupervised models
• Experience with Decision Making models, such as Reinforcement learning
• Experience with Prediction models, including time series models, regressors
• Experience with GenAI models, including LLMs
• Experience with Python
• Ability to quickly learn new next-generation algorithms and models, including Neurosymbolic reasoning models, and Liquid time-constant models (LTCs)

Preferred Qualifications (Desired Skills/Experience):

• Experience with ML Ops and Data Ops
• A strong, influential, innovative, and collaborative engineer that can work in a global team
• Strong background with optimizing and validating models
• Experience with V&V test benches
• Familiarity with Explainable AI (XAI) techniques
• Familiarity with ONNX (Open Neural Net Exchange)
• Proactively and quickly makes sense of complex issues; responds effectively to complex and ambiguous situations; communicates complicated information simply
• Gains others' trust by demonstrating openness and honesty, behaving consistently, and acting in accordance with moral, ethical, professional, and organizational guidelines

Relocation:

• Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
• This requisition is for an international, locally hired position. Candidates must be legally authorized to work in the country where the position is located.

This is for an international, locally hired position. Candidates must be legally authorized to work in the country where the position is located. Benefits and pay are determined at the local level and are not on Boeing US-based payroll.